Demo Data from SIGIR 2026 / matching
Assignment
Solved from the Taxonomy matching · locked and manual pairs survive re-solving.
⌥Taxonomyuses an LLM
taxonomy built
Builds a topic taxonomy for this venue with an LLM, over the submissions and each reviewer's evidence publications, places every paper in it, and scores a pair by how close the paper's topics are to the reviewer's. Every match can be read: the topics are named and the reviewer's closest publications are listed.
No LLM is configured on this server at the moment: the taxonomy would be built by clustering instead, with unnamed topics.
◎Expertise Prototypeno LLM
Turns each reviewer's publication history, with the age of every paper, into a few expertise prototypes and scores a submission by its closest prototypes. It needs only the reviewers' publications, calls no LLM, and runs entirely on this server.
⇪Your own scoresno LLM
Bring the scores you already have (from bids, TPMS or a previous cycle) and let the site solve the assignment only.
CSV or JSON rows with sub_id, rev_id, score; higher is better.
Template
Your data
- Taxonomy matching uses an external LLM. This server has no LLM configured at the moment, so the taxonomy is built by clustering here and nothing is sent out.
- Expertise Prototype matching and imported scores use no LLM: everything is computed on this server and nothing leaves it.
- Recruitment uses the LLM only to name topics, and only if you leave that option ticked on the Initial pool and Diagnose & recruit pages: the titles and abstracts of your submissions are then sent, once per paper. Nothing about reviewers is sent.
- We do not inspect your data and do not keep it. A venue is visible to your account only (the site gives its administrators no way to open one), and nothing in it is used for anything but your own results.
- Everything is deleted after 30 days. A venue is removed automatically 30 days after it was created, with all that was uploaded to it and computed for it. Export what you need before then; you can also delete a venue yourself at any time.
Assignment options — shared by every route; solve re-uses the current score source
585pairs assigned · as many as the pool allows, spread evenly
114papers below min reviewers
25.3lowest assigned score
0single-country panels of 146 with a known country
2,011conflicts of interest kept apart
22more co-author pairs excluded by the option
3–3papers per reviewer · 0 idle
233area-chair pairs · 0 papers without one
2–15papers per area chair · 0 idle
Insufficient coverage
Papers below min reviewers (114)
Topics short of reviewers (10)
Reinforcement Learning and Off-Policy Recommendation › Others
no reviewer here
Multi-Behavior Recommendation
2% covered
Generative Retrieval Efficiency
14% covered
LLM-Based Sequential Recommendation
23% covered
Deep Research and Report Generation
23% covered
LLM-Enhanced Sequential Recommendation
24% covered
Fix by diagnosing and recruiting for them, relaxing the options, or adjusting locks. Weak = mean assigned match below 40.
| Submission | Best match | Assigned reviewers · the three evidence publications closest to the submission in the taxonomy, each with its own match and its topic | Area chair |
|---|---|---|---|
| A Comparative Study of Users' Information-Seeking Practices Across Search Engines and Generative AI Chatbots
sigir26-001 · Switzerland
2/3
|
75 |
100 From SERPs to Agents: A Platform for Comparative Studies of Information Interaction (2026) User Behavior and Search Interaction 88 Beyond the Click: A Framework for Inferring Cognitive Traces in Search (2026) User Behavior and Search Interaction 85 In-Browser Agents for Search Assistance (2026) User Behavior and Search Interaction 72 TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants (2024) Interactive Information Seeking and Evaluation 72 Second International Workshop On the Evaluation of Collaborative Information Seeking and Retrieval (Ecol'17) (2017) Interactive Information Seeking and Evaluation 72 User Models, Metrics and Measures of Search: A Tutorial on the C/W/L Evaluation Framework (2021) User Behavior and Search Interaction |
Ziyi Ye 51
100 Web Search via an Efficient and Effective Brain-Machine Interface (2022) User Behavior and Search Interaction 72 Why Don't You Click: Understanding Non-Click Results in Web Search with Brain Signals (2022) User Behavior and Search Interaction 72 Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System (2022) User Behavior and Search Interaction |
| ACE: Semantically-Grounded Graph Alignment via Affective Contrastive Learning
sigir26-002 · Italy, Spain
|
65 |
Lianghao Xia
65
100 LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation (2023) Graph Contrastive and Self-Supervised Learning 100 Automated Self-Supervised Learning for Recommendation (2023) Graph Contrastive and Self-Supervised Learning 85 Self-Supervised Hypergraph Transformer for Recommender Systems (2022) Graph Contrastive and Self-Supervised Learning Yinwei Wei
62
88 MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation (2024) Graph Contrastive and Self-Supervised Learning 84 Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation (2025) Graph Contrastive and Self-Supervised Learning 84 Multi-modal Bipartite Graph Structure Learning with Information Bottleneck for Micro-video Recommendation (2026) Graph Contrastive and Self-Supervised Learning 76 Graph Contrastive Learning with Adaptive Augmentation for Recommendation (2022) Graph Contrastive and Self-Supervised Learning 76 Review-Enhanced Hierarchical Contrastive Learning for Recommendation (2024) Graph Contrastive and Self-Supervised Learning 76 Rating-Review Graph Contrastive Learning for Review-based Recommendation (2023) Graph Contrastive and Self-Supervised Learning |
Leyu Lin 45
81 Contrastive Cross-domain Recommendation in Matching (2022) Graph Contrastive and Self-Supervised Learning 65 Multi-view Multi-behavior Contrastive Learning in Recommendation (2022) Graph Contrastive and Self-Supervised Learning 49 CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation (2023) Contrastive and Self-Supervised Sequential Recommendation |
| Adaptive Rich-kernelized Contrastive Learning for Capacity Enhancement in Collaborative Filtering
sigir26-003 · Australia
2/3
|
52 |
Ke Wang 0038
52
100 Contrastive Self-supervised Learning in Recommender Systems: A Survey (2024) Graph Contrastive and Self-Supervised Learning 59 Review-Enhanced Hierarchical Contrastive Learning for Recommendation (2024) Graph Contrastive and Self-Supervised Learning 59 Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation (2024) Graph Contrastive and Self-Supervised Learning 76 Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering (2025) Graph Contrastive and Self-Supervised Learning 76 MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems (2025) Graph Contrastive and Self-Supervised Learning 72 Intent-Guided Heterogeneous Graph Contrastive Learning for Recommendation (2025) Graph Contrastive and Self-Supervised Learning |
Leyu Lin 44
69 Multi-view Multi-behavior Contrastive Learning in Recommendation (2022) Graph Contrastive and Self-Supervised Learning 57 Contrastive Cross-domain Recommendation in Matching (2022) Graph Contrastive and Self-Supervised Learning 49 CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation (2023) Contrastive and Self-Supervised Sequential Recommendation |
| Agentic Spatio-Temporal Grounding via Collaborative Reasoning
sigir26-004 · Singapore
2/3
|
80 |
Linchao Zhu
80
69 ActBERT: Learning Global-Local Video-Text Representations (2020) Video and Moment Retrieval 69 Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding (2023) Video and Moment Retrieval 69 Stitching Segments and Sentences towards Generalization in Video-Text Pre-training (2024) Video and Moment Retrieval 69 Learning Semantics-Grounded Vocabulary Representation for Video-Text Retrieval (2023) Video and Moment Retrieval 69 Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval (2024) Video and Moment Retrieval 59 mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models (2025) Video and Temporal Understanding |
Xiaoye Qu 57
69 Temporal Sentence Grounding with Relevance Feedback in Videos (2024) Video and Moment Retrieval 69 Rethinking Video Sentence Grounding From a Tracking Perspective With Memory Network and Masked Attention (2024) Video and Moment Retrieval 69 Reducing the Vision and Language Bias for Temporal Sentence Grounding (2022) Video and Moment Retrieval |
| An Epistemic Position-Based Click Model: From Interactions to Epistemic Distributions of Relevance and Bias
sigir26-005 · Netherlands
2/3
|
81 |
Jiqun Liu
81
100 A Reference-Dependent Model for Web Search Evaluation: Understanding and Measuring the Experience of Boundedly Rational Users (2023) User Behavior and Search Interaction 100 Investigating Reference Dependence Effects on User Search Interaction and Satisfaction: A Behavioral Economics Perspective (2020) User Behavior and Search Interaction 100 Constructing and meta-evaluating state-aware evaluation metrics for interactive search systems (2023) User Behavior and Search Interaction 100 What do Users Really Ask Large Language Models? An Initial Log Analysis of Google Bard Interactions in the Wild (2024) User Behavior and Search Interaction 100 From Lab to Reality: An Eye-tracking Study of How Users are Influenced to Search in the Era of GenAI (2026) User Behavior and Search Interaction 64 A Comparative Analysis of Linguistic and Retrieval Diversity in LLM-Generated Search Queries (2025) User Behavior and Search Interaction |
Ziyi Ye 45
100 Why Don't You Click: Understanding Non-Click Results in Web Search with Brain Signals (2022) User Behavior and Search Interaction 100 Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System (2022) User Behavior and Search Interaction 72 Web Search via an Efficient and Effective Brain-Machine Interface (2022) User Behavior and Search Interaction |
| An Eye Tracking Study: Are AI Overviews Changing Search Behavior?
sigir26-006 · United States
2/3
|
81 |
100 Understanding user behavior in naturalistic information search tasks (2019) User Behavior and Search Interaction 100 Associating cognitive abilities with naturalistic search behavior (2025) User Behavior and Search Interaction 100 Naturalistic Digital Behavior Predicts Cognitive Abilities (2024) User Behavior and Search Interaction 100 Constructing Better Evaluation Metrics by Incorporating the Anchoring Effect into the User Model (2022) User Behavior and Search Interaction 100 Evaluating Web Search with a Bejeweled Player Model (2017) User Behavior and Search Interaction 100 Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics (2020) User Behavior and Search Interaction |
Ziyi Ye 45
100 Why Don't You Click: Understanding Non-Click Results in Web Search with Brain Signals (2022) User Behavior and Search Interaction 100 Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System (2022) User Behavior and Search Interaction 72 Web Search via an Efficient and Effective Brain-Machine Interface (2022) User Behavior and Search Interaction |
| Aspect-Aware Content-Based Recommendations for Mathematical Research Papers
sigir26-007 · Germany, Japan
2/3
|
63 |
Xinying Qian
56
60 Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting (2024) Knowledge Graph Embedding and Completion 60 Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion (2024) Knowledge Graph Embedding and Completion 60 Few-shot temporal knowledge graph completion based on query-adaptive Mamba-enhanced temporal relation learning (2025) Knowledge Graph Embedding and Completion Tianzhe Zhao
53
66 Untargeted Adversarial Attack on Knowledge Graph Embeddings (2024) Knowledge Graph Embedding and Completion 60 Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis (2025) Knowledge Graph Embedding and Completion 60 SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding (2025) Knowledge Graph Embedding and Completion |
72 SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation (2025) Knowledge Graph Embedding and Completion 42 SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation (2026) Sequential and Session-based Recommendation 42 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation |
| Attention Grounded Enhancement for Visual Document Retrieval
sigir26-008 · China
2/3
|
68 |
68 Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing (2026) Universal Multimodal Embedding and MLLM Retrieval 68 Towards Text-Image Interleaved Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval 67 Bridging Modalities: Improving Universal Multimodal Retrieval by Multimodal Large Language Models (2025) Universal Multimodal Embedding and MLLM Retrieval 68 Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning (2026) Universal Multimodal Embedding and MLLM Retrieval 68 Modeling Uncertainty in Composed Image Retrieval via Probabilistic Embeddings (2025) Universal Multimodal Embedding and MLLM Retrieval 67 Suit the Remedy to the Retriever: Interpretable Query Optimization with Retriever Preference Alignment for Vision-Language Retrieval (2026) Universal Multimodal Embedding and MLLM Retrieval |
50 Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion (2024) Cross-Encoder and Neural Reranking 49 Word-Entity Duet Representations for Document Ranking (2017) Entity Linking and Alignment 46 Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback (2021) Query Reformulation and Expansion |
| BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
sigir26-009 · China
2/3
|
66 |
87 DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems (2025) Preference Alignment and Optimization 87 Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5) (2022) Knowledge Infusion and Open-World Augmentation 50 Comprehensive List Generation for Multi-Generator Reranking (2025) Recommendation with Search and Ranking Keqin Bao
51
64 Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models (2024) Generative Recommendation and Item Tokenization 64 A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems (2025) Generative Recommendation and Item Tokenization 62 TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation (2023) Preference Alignment and Optimization |
Pengyue Jia 48
64 SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems (2025) Efficiency and Deployment 58 Prompt Tuning as User Inherent Profile Inference Machine (2025) Efficiency and Deployment 57 Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends (2025) Efficiency and Deployment |
| Beyond Exposure Diversity: Debiasing News Consumption With Topic-Locality Calibration and Personalized Preview Nudges
sigir26-010 · United States
2/3
|
65 |
100 Intersectional Two-sided Fairness in Recommendation (2024) Popularity Bias and Long-Tail Debiasing 83 Improving Long-tail User CTR Prediction via Hierarchical Distribution Alignment (2025) Bias Mitigation Methods 75 Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias (2024) Popularity Bias and Debiasing in Recommendation Sunhao Dai
57
88 Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop (2025) Popularity Bias and Long-Tail Debiasing 71 Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era (2025) Bias Mitigation Methods 71 Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era (2024) Bias Mitigation Methods |
Xin Xin 0003 42
60 How graph convolutions amplify popularity bias for recommendation? (2024) Popularity Bias and Debiasing in Recommendation 52 Learning Robust Recommenders through Cross-Model Agreement (2022) Popularity Bias and Debiasing in Recommendation 46 Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure (2025) Contrastive and Self-Supervised Sequential Recommendation |
| Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
sigir26-011 · China
2/3
|
66 |
78 Large Language Models Enhanced Collaborative Filtering (2024) Preference Alignment and Optimization 54 Similarity = Value? Consultation Value-Assessment and Alignment for Personalized Search (2025) Personalized and Context-Aware Retrieval 51 UniSAR: Modeling User Transition Behaviors between Search and Recommendation (2024) Recommendation with Search and Ranking Min Hou 0004
47
75 RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation (2026) Preference Alignment and Optimization 55 WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging (2026) Efficiency and Deployment 48 Mitigating Distribution Shifts in Sequential Recommendation: An Invariance Perspective (2025) Contrastive and Self-Supervised Sequential Recommendation |
Pengyue Jia 47
65 SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems (2025) Efficiency and Deployment 58 Prompt Tuning as User Inherent Profile Inference Machine (2025) Efficiency and Deployment 58 Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends (2025) Efficiency and Deployment |
| Beyond Static Diffusion: Explicitly Modeling Temporal Patterns in Sequential Recommendation
sigir26-012 · China
|
63 |
Lantao Hu
60
74 Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation (2025) Diffusion and Flow Recommenders 74 Modeling User Fatigue for Sequential Recommendation (2024) Contrastive and Self-Supervised Sequential Recommendation 73 Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation (2025) Diffusion and Flow Recommenders Yongjing Hao
54
77 Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation (2024) Diffusion and Flow Recommenders 63 Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation (2023) Contrastive and Self-Supervised Sequential Recommendation 61 Learnable Model Augmentation Contrastive Learning for Sequential Recommendation (2024) Contrastive and Self-Supervised Sequential Recommendation 64 Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation (2018) Sequential Recommendation with User Modeling and Profiling 60 ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation (2025) Item Tokenization and Semantic IDs 50 Attentive neural architecture incorporating song features for music recommendation (2018) Sequential Recommendation with Side and Multimodal Information |
Yanan Niu 53
63 Disentangling Long and Short-Term Interests for Recommendation (2022) Contrastive and Self-Supervised Sequential Recommendation 53 Mixed Attention Network for Cross-domain Sequential Recommendation (2024) Cross-Domain and Cross-Market Sequential Recommendation 53 Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation (2023) Multi-Behavior and Multi-Interest Sequential Recommendation |
| Bridging LLM Embeddings and VAE Parameters for Disentangled Recommendation
sigir26-013 · Singapore
2/3
|
63 |
60 Don't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs (2026) Efficiency and Deployment 57 LLM Personalization: Foundations, Breakthroughs, and Frontiers (2026) User Profile and Persona Modeling 54 CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation (2025) Collaborative-Semantic Representation Alignment Dan Luo 0004
43
68 Flow Matching Based Sequential Recommender Model (2025) Diffusion and Flow Recommenders 42 Scaling Collaborative Filtering with Multimodal Contrastive Fine-tuning (2026) Multimodal Generative Recommendation 40 Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation (2024) Unbiased Learning to Rank |
61 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation 61 Empowering Denoising Sequential Recommendation with Large Language Model Embeddings (2025) Sequential and Session-based Recommendation 61 SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation (2026) Sequential and Session-based Recommendation |
| CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommendation
sigir26-014 · China
|
61 |
88 MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation (2026) Item Tokenization and Semantic IDs 72 HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation (2025) Item Tokenization and Semantic IDs 69 REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems (2026) Item Tokenization and Semantic IDs Yongxin Ni
57
62 Frequency-Decoupled Distillation for Efficient Multimodal Recommendation (2025) Multimodal Generative Recommendation 62 Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation (2025) Multimodal Generative Recommendation 62 Multi-Modality is All You Need for Transferable Recommender Systems (2024) Multimodal Generative Recommendation Junchen Fu
53
65 Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities (2026) Multimodal Generative Recommendation 62 Frequency-Decoupled Distillation for Efficient Multimodal Recommendation (2025) Multimodal Generative Recommendation 62 Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation (2025) Multimodal Generative Recommendation |
60 Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation (2023) Multimodal Generative Recommendation 56 Boosting Guided Diffusion with Large Language Models for Multimodal Sequential Recommendation (2025) Diffusion and Flow Recommenders 55 Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation (2025) Multimodal Generative Recommendation |
| CATS: Cluster-Aware Thompson Sampling for Negative Mining in Sequential Recommendation
sigir26-015 · Italy
2/3
|
63 |
100 Recurrent Recommendation with Local Coherence (2019) Sequential Recommendation with User Modeling and Profiling 74 Sequential Recommendation for Cold-start Users with Meta Transitional Learning (2021) Sequential Recommendation with User Modeling and Profiling 72 A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists (2019) Efficient and Long-Sequence Sequential Recommendation Yuta Saito
45
49 Off-Policy Evaluation of Ranking Policies under Diverse User Behavior (2023) Recommendation with Search and Ranking 48 Evaluating the Robustness of Off-Policy Evaluation (2021) Recommendation Systems and Evaluation 46 CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems (2022) Explainable and Causal Recommendation |
Xin Xin 0003 51
73 Learning Robust Sequential Recommenders through Confident Soft Labels (2025) Sequential Recommendation with User Modeling and Profiling 73 R2NS: Recall and Re-ranking of Negative Samples for Sequential Recommendation (2026) Sequential Recommendation with User Modeling and Profiling 65 Diversifying Sequential Recommendation with Retrospective and Prospective Transformers (2024) Multi-Task and Multi-Objective Optimization |
| Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation
sigir26-016 · China
|
70 |
87 DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers (2025) Universal Multimodal Embedding and MLLM Retrieval 87 REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark (2025) Universal Multimodal Embedding and MLLM Retrieval 20 Paint by Inpaint: Learning to Add Image Objects by Removing Them First (2025) Generative Models for Recommendation and Content › Others 68 Improving One-Stage Visual Grounding by Recursive Sub-query Construction (2020) Universal Multimodal Embedding and MLLM Retrieval 68 A Fast and Accurate One-Stage Approach to Visual Grounding (2019) Universal Multimodal Embedding and MLLM Retrieval 68 Learning Deep Structure-Preserving Image-Text Embeddings (2016) Universal Multimodal Embedding and MLLM Retrieval 68 Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval 68 VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval (2024) Universal Multimodal Embedding and MLLM Retrieval 68 MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval |
Hongjin Qian 42
54 Evolving Graph-Based Context Modeling for Multi-Turn Conversational Retrieval-Augmented Generation (2025) Conversational Search and Retrieval 50 Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization (2025) Multi-Hop and Iterative Retrieval Reasoning 46 Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging (2025) Agentic and Deep Search RAG |
| Cognitive Style Shapes Search Behaviours: An fNIRS Study of Exploratory Search
sigir26-017 · China, United Kingdom
2/3
|
81 |
100 From Lab to Reality: An Eye-tracking Study of How Users are Influenced to Search in the Era of GenAI (2026) User Behavior and Search Interaction 100 What do Users Really Ask Large Language Models? An Initial Log Analysis of Google Bard Interactions in the Wild (2024) User Behavior and Search Interaction 64 A Comparative Analysis of Linguistic and Retrieval Diversity in LLM-Generated Search Queries (2025) User Behavior and Search Interaction 100 Associating cognitive abilities with naturalistic search behavior (2025) User Behavior and Search Interaction 100 Understanding user behavior in naturalistic information search tasks (2019) User Behavior and Search Interaction 100 Naturalistic Digital Behavior Predicts Cognitive Abilities (2024) User Behavior and Search Interaction |
Ziyi Ye 45
100 Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System (2022) User Behavior and Search Interaction 100 Why Don't You Click: Understanding Non-Click Results in Web Search with Brain Signals (2022) User Behavior and Search Interaction 72 Web Search via an Efficient and Effective Brain-Machine Interface (2022) User Behavior and Search Interaction |
| Cohesive Group Discovery in Interaction Graphs under Explicit Density Constraints
sigir26-018 · China
|
55 |
86 Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network (2022) Social and Group Graph Recommendation 72 Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph (2023) Social and Group Recommendation 72 Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation (2023) Social and Group Recommendation Mingdai Yang
50
86 Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph (2023) Social and Group Graph Recommendation 86 Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation (2023) Social and Group Graph Recommendation 86 Multi-View Graph Convolution for Participant Recommendation (2023) Social and Group Graph Recommendation 86 Multi-View Graph Convolution for Participant Recommendation (2023) Social and Group Graph Recommendation 78 Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph (2023) Social and Group Graph Recommendation 73 Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation (2023) Social and Group Recommendation |
49 DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation (2022) Graph Contrastive and Self-Supervised Learning 48 Contrastive Hypergraph Flows With Multifaceted Gates for Cross-Domain Sequential Recommendation (2025) Graph Contrastive and Self-Supervised Learning 39 Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation (2023) Domain Adaptation and Disentangled Representation for CDR |
| CoMCo: Consistency-Aware Multi-Agent Coordination for Zero-Shot Cross-Modal Entity Matching
sigir26-019 · China
2/3
|
63 |
Xuhui Sui
63
64 MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction (2024) Universal Multimodal Embedding and MLLM Retrieval 64 Multimodal Graph-Based Variational Mixture of Experts Network for Zero-Shot Multimodal Information Extraction (2025) Universal Multimodal Embedding and MLLM Retrieval 64 Hyperbolic Multimodal Generative Representation Learning for Generalized Zero-Shot Multimodal Information Extraction (2026) Universal Multimodal Embedding and MLLM Retrieval 63 MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval 63 VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval (2024) Universal Multimodal Embedding and MLLM Retrieval 63 Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval |
Hao Fei 0001 35
63 From Data Deluge to Data Curation: A Filtering-WoRA Paradigm for Efficient Text-based Person Search (2025) Universal Multimodal Embedding and MLLM Retrieval 38 Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining (2025) Multimodal Evaluation and Benchmarks 38 On Path to Multimodal Generalist: General-Level and General-Bench (2025) Multimodal Evaluation and Benchmarks |
| Corpus-Centric Learning for Zero-Shot Table Retrieval
sigir26-020 · China
|
61 |
76 Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation (2021) Dense Bi-Encoder Training and Representation Learning 68 SportReason: Evaluating Retrieval-Augmented Reasoning across Tables and Text for Sports Question Answering (2025) Multi-Hop and Iterative Retrieval Reasoning 65 Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval (2021) Multi-hop and Complex Reasoning QA 56 A Regularized Competition Model for Question Difficulty Estimation in Community Question Answering Services (2014) Retrieval-Augmented and Open-Domain QA 55 Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation (2025) Knowledge Conflict and Faithfulness 53 A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers (2013) Domain-Specific and Structured Retrieval Keping Bi
53
60 A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval (2024) Sparse and Dense Retrieval Encoders 58 Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval (2023) Sparse and Dense Retrieval Encoders 51 Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception (2025) Search Agents and LLM Reasoning › Others |
Hongjin Qian 46
60 Webformer: Pre-training with Web Pages for Information Retrieval (2022) Domain-Specific and Structured Retrieval 50 ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval (2022) Conversational Search and Retrieval 50 Learning Denoised and Interpretable Session Representation for Conversational Search (2023) Conversational Search and Retrieval |
| Cross-Domain Interest Representation Learning for Scenario- and Task-Aware Recommendation
sigir26-021 · China
|
69 |
Jiangxia Cao
69
86 Towards Universal Cross-Domain Recommendation (2023) Multi-Domain and Multi-Market Recommendation 86 DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation (2022) Domain Adaptation and Disentangled Representation for CDR 86 Disentangled Representations Learning for Multi-target Cross-domain Recommendation (2023) Domain Adaptation and Disentangled Representation for CDR Hao Liu 0078
68
100 MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation (2024) Domain Adaptation and Disentangled Representation for CDR 86 DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation (2024) Domain Adaptation and Disentangled Representation for CDR 55 WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging (2026) Efficiency and Deployment Yong He 0009
62
86 The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective (2024) Domain Adaptation and Disentangled Representation for CDR 86 Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System (2023) Domain Adaptation and Disentangled Representation for CDR 86 Learning to Select Instance: Simultaneous Transfer Learning and Clustering (2021) Domain Adaptation and Disentangled Representation for CDR |
Leyu Lin 60
86 Adversarial Feature Translation for Multi-domain Recommendation (2021) Multi-Domain and Multi-Market Recommendation 77 Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation (2020) Domain Adaptation and Disentangled Representation for CDR 76 ID-centric Pre-training for Recommendation (2025) Cross-Domain and Cross-Market Sequential Recommendation |
| DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation
sigir26-022 · China, United States
|
59 |
Xinying Qian
56
54 Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion (2024) Knowledge Graph Embedding and Completion 54 Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting (2024) Knowledge Graph Embedding and Completion 54 Few-shot temporal knowledge graph completion based on query-adaptive Mamba-enhanced temporal relation learning (2025) Knowledge Graph Embedding and Completion 54 LLM Collaborative Filtering: User-Item Graph as New Language (2026) Efficiency and Deployment 54 Active Ensemble Learning for Knowledge Graph Error Detection (2023) Knowledge Graph Embedding and Completion 54 Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion (2024) Knowledge Graph Embedding and Completion Dongxiao He
48
63 LLM-FSGNN: LLM-Guided Feature-Structure Augmentation Graph Neural Network for Cold-Start Recommendation (2026) LLM-Derived Knowledge Infusion 63 Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation (2025) LLM-Derived Knowledge Infusion 42 HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting (2025) Graph Pretraining and Foundation Models |
59 Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation (2026) Content-Based Transferable Recommendation 54 Boosting Guided Diffusion with Large Language Models for Multimodal Sequential Recommendation (2025) Diffusion and Flow Recommenders 53 Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation (2022) Domain Adaptation and Disentangled Representation for CDR |
| Debiased Multimodal Personality Understanding through Dual Causal Intervention
sigir26-023 · China
2/3
|
48 |
60 Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method (2023) Robustness and Adversarial IR 60 Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models (2025) Robustness and Adversarial IR 60 Robust Neural Information Retrieval: An Adversarial and Out-of-Distribution Perspective (2026) Robustness and Adversarial IR 68 Score-Based Generative Diffusion Models for Social Recommendations (2025) Social Media and User Modelling 60 CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent (2024) Preference Alignment and Optimization 55 Multi-Agent Attacks for Black-Box Social Recommendations (2025) Bias Mitigation Methods |
61 ADEPT: A DEbiasing PrompT Framework (2023) Bias Mitigation Methods 61 NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly (2023) Social Media and User Modelling 61 Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting (2023) Social Media and User Modelling |
| Decision-Theoretic Stopping Rules for Document Screening
sigir26-024 · United Kingdom
|
74 |
100 Summaries, ranked retrieval and sessions: a unified framework for information access evaluation (2013) Evaluation Metrics and User Models 100 Give me just one highly relevant document: P-measure (2006) Evaluation Metrics and User Models 100 Diversification as Risk Minimization (2026) Evaluation Metrics and User Models 100 Offline Evaluation by Maximum Similarity to an Ideal Ranking (2020) Evaluation Metrics and User Models 100 Assessing Top- Preferences (2021) Evaluation Metrics and User Models 68 Time-based calibration of effectiveness measures (2012) User Behavior and Search Interaction 70 Efficiently Estimating Retrievability Bias (2014) Evaluation Metrics and User Models 70 Measuring Bias in a Ranked List Using Term-Based Representations (2024) Evaluation Metrics and User Models 68 User Models, Metrics and Measures of Search: A Tutorial on the C/W/L Evaluation Framework (2021) User Behavior and Search Interaction |
100 Offline Retrieval Evaluation Without Evaluation Metrics (2022) Evaluation Metrics and User Models 100 Diversification as Risk Minimization (2026) Evaluation Metrics and User Models 48 Regularizing query-based retrieval scores (2007) Query Reformulation and Expansion |
| Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience
sigir26-025 · China, United States
2/3
|
56 |
100 MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search (2026) Agentic and Deep Search RAG 87 To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention (2026) Agentic and Deep Search RAG 72 Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning (2025) Agentic and Deep Search RAG 100 MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search (2026) Agentic and Deep Search RAG 73 To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention (2026) Agentic and Deep Search RAG 72 Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning (2025) Agentic and Deep Search RAG |
87 WebThinker: Empowering Large Reasoning Models with Deep Research Capability (2025) Agentic and Deep Search RAG 73 Search-o1: Agentic Search-Enhanced Large Reasoning Models (2025) Agentic and Deep Search RAG 68 RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation (2025) Agentic and Deep Search RAG |
| Depression Detection from Social Media: A Mutual Guidance Multi-modal Network with Complementary Graph Learning
sigir26-026 · Australia, China
2/3
|
37 |
Weizhou Shen
34
100 Multi-Party Conversation Modeling for Emotion Recognition (2024) Social Media and User Modelling 100 DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition (2021) Social Media and User Modelling 100 Directed Acyclic Graph Network for Conversational Emotion Recognition (2021) Social Media and User Modelling 100 Confluence: conformity influence in large social networks (2013) Social Media and User Modelling 100 MetaFac: community discovery via relational hypergraph factorization (2009) Social Media and User Modelling 67 Patent partner recommendation in enterprise social networks (2013) Social Media and User Modelling |
100 Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting (2023) Social Media and User Modelling 100 NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly (2023) Social Media and User Modelling 28 Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement (2025) Personalized Question Answering and RAG |
| DIAURec: Dual-Intent Space Representation Optimization for Recommendation
sigir26-027 · China
2/3
|
54 |
Ke Wang 0038
54
68 Contrastive Self-supervised Learning in Recommender Systems: A Survey (2024) Graph Contrastive and Self-Supervised Learning 59 Enhancing Cross-Domain Recommendation with Plug-In Contrastive Representations from Large Language Models (2025) Sequential and Session-based Recommendation 56 Review-Enhanced Hierarchical Contrastive Learning for Recommendation (2024) Graph Contrastive and Self-Supervised Learning Mingdai Yang
43
68 Collaborative Alignment for Recommendation (2024) Graph Contrastive and Self-Supervised Learning 67 Graph-based Alignment and Uniformity for Recommendation (2023) Graph-based User and Item Representation Learning 53 Knowledge Graph Context-Enhanced Diversified Recommendation (2024) Knowledge Graph Embedding and Completion |
55 Rethinking Semantic-Collaborative Integration: Why Alignment Is Not Enough (2026) Collaborative-Semantic Representation Alignment 55 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation 55 SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation (2026) Sequential and Session-based Recommendation |
| Discrete Preference Learning for Personalized Multimodal Generation
sigir26-028 · China, United States
|
74 |
60 Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion (2023) Diffusion and Flow Recommenders 60 On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders (2025) Diffusion and Flow Recommenders 60 Addressing Missing Data Issue for Diffusion-based Recommendation (2025) Diffusion and Flow Recommenders Jizhi Zhang
60
63 Learnable Item Tokenization for Generative Recommendation (2024) Item Tokenization and Semantic IDs 60 Large Language Models are Learnable Planners for Long-Term Recommendation (2024) Preference Alignment and Optimization 60 TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation (2023) Preference Alignment and Optimization 62 Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs (2026) Efficiency and Deployment 60 Continuous-time Discrete-space Diffusion Model for Recommendation (2026) Diffusion and Flow Recommenders 54 CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent (2024) Preference Alignment and Optimization |
62 Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs (2025) Item Tokenization and Semantic IDs 48 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation 48 Empowering Denoising Sequential Recommendation with Large Language Model Embeddings (2025) Sequential and Session-based Recommendation |
| Disentangling from Collaborative and Semantic Views: Graph Collaborative Filtering for Q&A Recommendation
sigir26-029 · China, United States
|
61 |
54 TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning (2024) Graph Pretraining and Foundation Models 53 Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding (2021) Graph-based User and Item Representation Learning 53 CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment (2022) Graph-based User and Item Representation Learning Dongxiao He
57
56 Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning (2024) Graph Contrastive and Self-Supervised Learning 54 DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks (2026) Graph Pretraining and Foundation Models 53 LLM-FSGNN: LLM-Guided Feature-Structure Augmentation Graph Neural Network for Cold-Start Recommendation (2026) LLM-Derived Knowledge Infusion 86 DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation (2023) Graph-based User and Item Representation Learning 65 Unified Pretraining for Recommendation via Task Hypergraphs (2024) Graph Neural Network Architectures for CF 57 Graph-based Alignment and Uniformity for Recommendation (2023) Graph-based User and Item Representation Learning |
Qiaoyu Tan 49
56 GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (2024) Graph Contrastive and Self-Supervised Learning 55 Interest Driven Graph Structure Learning for Session-Based Recommendation (2023) Sequential and Session-Based Graph Recommendation 55 Temporal Augmented Graph Neural Networks for Session-Based Recommendations (2021) Sequential and Session-Based Graph Recommendation |
| Distribution-aware Re-representations for Multi-Scenario Recommendations
sigir26-030 · Australia, China, United States
2/3
|
55 |
Jinxin Hu
52
100 Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation (2022) Multi-Scenario and Multi-Domain CTR Prediction 100 Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework (2025) Multi-Scenario and Multi-Domain CTR Prediction 100 Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context (2024) Multi-Scenario and Multi-Domain CTR Prediction Jiangxia Cao
49
63 Towards Universal Cross-Domain Recommendation (2023) Multi-Domain and Multi-Market Recommendation 63 Item Similarity Mining for Multi-Market Recommendation (2022) Multi-Domain and Multi-Market Recommendation 61 Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck (2022) Domain Adaptation and Disentangled Representation for CDR |
Leyu Lin 44
63 Adversarial Feature Translation for Multi-domain Recommendation (2021) Multi-Domain and Multi-Market Recommendation 54 Curriculum-scheduled knowledge distillation from multiple pre-trained teachers for multi-domain sequential recommendation (2025) Cross-Domain and Cross-Market Sequential Recommendation 53 ID-centric Pre-training for Recommendation (2025) Cross-Domain and Cross-Market Sequential Recommendation |
| Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation
sigir26-031 · China
2/3
|
63 |
Bo Peng 0009
63
100 HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract) (2023) Sequential Recommendation with User Modeling and Profiling 100 $\mathop {\mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation (2022) Sequential Recommendation with User Modeling and Profiling 72 M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation (2023) Efficient and Long-Sequence Sequential Recommendation 100 MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation (2025) Sequential Recommendation with User Modeling and Profiling 86 Temporal Linear Item-Item Model for Sequential Recommendation (2025) Efficient and Long-Sequence Sequential Recommendation 54 Linear Item-Item Models with Neural Knowledge for Session-based Recommendation (2025) Efficient and Long-Sequence Sequential Recommendation |
Yanan Niu 51
61 Disentangling Long and Short-Term Interests for Recommendation (2022) Contrastive and Self-Supervised Sequential Recommendation 60 Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation (2023) Multi-Behavior and Multi-Interest Sequential Recommendation 60 Dual-interest Factorization-heads Attention for Sequential Recommendation (2023) Multi-Behavior and Multi-Interest Sequential Recommendation |
| Do Simulated Users Need to Remember? Analyzing the Impact of Memory Models in Conversational Search Evaluation
sigir26-032 · Germany
2/3
|
71 |
76 The effects of goal-setting on learning during information seeking with generative AI (2026) User Behavior and Search Interaction 71 Learning assessments in search-as-learning: A survey of prior work and opportunities for future research (2022) User Behavior and Search Interaction 71 Goal-setting in support of learning during search: An exploration of learning outcomes and searcher perceptions (2023) User Behavior and Search Interaction 71 Evaluating the Robustness of Click Models to Policy Distributional Shift (2023) User Behavior and Search Interaction 71 An Offline Metric for the Debiasedness of Click Models (2023) User Behavior and Search Interaction 39 SARDINE: Simulator for Automated Recommendation in Dynamic and Interactive Environments (2024) Recommendation Systems and Evaluation |
Ziyi Ye 52
76 Web Search via an Efficient and Effective Brain-Machine Interface (2022) User Behavior and Search Interaction 74 EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation (2024) User Behavior and Search Interaction 72 Comparing point-wise and pair-wise relevance judgment with brain signals (2024) User Behavior and Search Interaction |
| Dual-Diffusional Generative Fashion Recommendation
sigir26-033 · China, Singapore
|
61 |
Yongxin Ni
61
69 A Content-Driven Micro-Video Recommendation Dataset at Scale (2025) Recommendation Systems and Evaluation 63 Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation (2023) Multimodal Generative Recommendation 62 Multi-Modality is All You Need for Transferable Recommender Systems (2024) Multimodal Generative Recommendation Junchen Fu
56
69 A Content-Driven Micro-Video Recommendation Dataset at Scale (2025) Recommendation Systems and Evaluation 63 Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities (2026) Multimodal Generative Recommendation 61 NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation (2025) Multimodal Generative Recommendation Dan Luo 0004
45
62 Scaling Collaborative Filtering with Multimodal Contrastive Fine-tuning (2026) Multimodal Generative Recommendation 57 Generating Negative Samples for Multi-Modal Recommendation (2025) Multimodal Generative Recommendation 56 Flow Matching Based Sequential Recommender Model (2025) Diffusion and Flow Recommenders |
Leyu Lin 44
48 Triple Sequence Learning for Cross-domain Recommendation (2024) Cross-Domain Sequential Recommendation 46 Curriculum-scheduled knowledge distillation from multiple pre-trained teachers for multi-domain sequential recommendation (2025) Cross-Domain and Cross-Market Sequential Recommendation 45 Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation (2020) Domain Adaptation and Disentangled Representation for CDR |
| FACE: A Fine-Grained Reference-Free Evaluator for Conversational Information Access
sigir26-034 · Canada, Netherlands
2/3
|
75 |
100 How Users Interact with Generative Information Retrieval Systems: A Study of User Behavior and Search Experience (2025) User Behavior and Search Interaction 100 Conversational vs Traditional: Comparing Search Behavior and Outcome in Legal Case Retrieval (2021) User Behavior and Search Interaction 72 Constructing Better Evaluation Metrics by Incorporating the Anchoring Effect into the User Model (2022) User Behavior and Search Interaction 100 From SERPs to Agents: A Platform for Comparative Studies of Information Interaction (2026) User Behavior and Search Interaction 88 Beyond the Click: A Framework for Inferring Cognitive Traces in Search (2026) User Behavior and Search Interaction 85 In-Browser Agents for Search Assistance (2026) User Behavior and Search Interaction |
Ziyi Ye 51
100 Web Search via an Efficient and Effective Brain-Machine Interface (2022) User Behavior and Search Interaction 72 Why Don't You Click: Understanding Non-Click Results in Web Search with Brain Signals (2022) User Behavior and Search Interaction 72 Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System (2022) User Behavior and Search Interaction |
| Factorized Latent Reasoning for LLM-based Recommendation
sigir26-035 · Australia, China
|
67 |
67 LLaRA: Large Language-Recommendation Assistant (2024) Sequential and Session-based Recommendation 64 On Softmax Direct Preference Optimization for Recommendation (2024) Preference Alignment and Optimization 64 AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization (2025) Preference Alignment and Optimization 77 Large Language Models are Learnable Planners for Long-Term Recommendation (2024) Preference Alignment and Optimization 66 Tunable LLM-based Proactive Recommendation Agent (2025) Preference Alignment and Optimization 65 MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback (2026) Preference Alignment and Optimization Jiancan Wu
60
77 Customizing Language Models with Instance-wise LoRA for Sequential Recommendation (2024) Sequential and Session-based Recommendation 71 LLaRA: Large Language-Recommendation Assistant (2024) Sequential and Session-based Recommendation 71 Large Language Model Can Interpret Latent Space of Sequential Recommender (2026) Sequential and Session-based Recommendation |
60 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation 60 Empowering Denoising Sequential Recommendation with Large Language Model Embeddings (2025) Sequential and Session-based Recommendation 60 SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation (2026) Sequential and Session-based Recommendation |
| FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation
sigir26-036 · South Korea
|
62 |
Wei Guo 0006
53
80 Breaking the Bottleneck: User-Specific Optimization and Real-Time Inference Integration for Sequential Recommendation (2025) Efficient and Long-Sequence Sequential Recommendation 73 FuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism (2026) Efficient Sequential Recommendation Architectures 63 Dataset Regeneration for Sequential Recommendation (2024) Recommendation Systems and Evaluation 63 Enhancing Multi-Behavior Sequential Recommenders with Behavior-Aware Regularization (2025) Multi-Behavior Recommendation 54 RecStudio: Towards a Highly-Modularized Recommender System (2023) Recommendation Systems and Evaluation 53 Cooperative Retriever and Ranker in Deep Recommenders (2023) Recommendation with Search and Ranking 63 MESA: Plugin Meta-Modulation for Transformer-Based Cold-Start Sequential Recommendation (2026) Sequential Recommendation with User Modeling and Profiling 57 Graph Diffusion-Based Representation Learning for Sequential Recommendation (2024) Sequential and Session-Based Graph Recommendation 55 Learning Graph-based Disentangled Representations for Next POI Recommendation (2022) Sequential and Session-Based Graph Recommendation |
Yanan Niu 55
72 TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou (2024) CTR and Conversion Rate Prediction 69 Disentangling Long and Short-Term Interests for Recommendation (2022) Contrastive and Self-Supervised Sequential Recommendation 61 Dual-interest Factorization-heads Attention for Sequential Recommendation (2023) Multi-Behavior and Multi-Interest Sequential Recommendation |
| Formalized Information Needs Improve Large-Language-Model Relevance Judgments
sigir26-037 · Denmark, Germany
2/3
|
63 |
100 LLM4Eval@WSDM 2025: Large Language Model for Evaluation in Information Retrieval (2025) LLM-Based Relevance Assessment 100 System Comparison Using Automated Generation of Relevance Judgements in Multiple Languages (2025) LLM-Based Relevance Assessment 100 LLM4Eval: Large Language Model for Evaluation in IR (2025) LLM-Based Relevance Assessment 41 Model Editing for New Document Integration in Generative Information Retrieval (2026) Generative Retrieval 39 COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search (2023) Web-Scale Learning to Rank 39 GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract) (2024) Web-Scale Learning to Rank |
Kam-Fai Wong 36
42 MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models (2025) Multimodal Evaluation and Benchmarks 41 Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models (2023) Conversational Search and Retrieval 41 JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning (2024) Conversational Search and Retrieval |
| Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning for Recommendation
sigir26-038 · Australia, China, United States
|
66 |
Lianghao Xia
66
100 Self-Supervised Hypergraph Transformer for Recommender Systems (2022) Graph Contrastive and Self-Supervised Learning 85 Automated Self-Supervised Learning for Recommendation (2023) Graph Contrastive and Self-Supervised Learning 85 LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation (2023) Graph Contrastive and Self-Supervised Learning 73 Graph Contrastive Learning with Adaptive Augmentation for Recommendation (2022) Graph Contrastive and Self-Supervised Learning 73 Review-Enhanced Hierarchical Contrastive Learning for Recommendation (2024) Graph Contrastive and Self-Supervised Learning 73 Contrastive Self-supervised Learning in Recommender Systems: A Survey (2024) Graph Contrastive and Self-Supervised Learning Ke Wang 0038
63
83 Review-Enhanced Hierarchical Contrastive Learning for Recommendation (2024) Graph Contrastive and Self-Supervised Learning 83 Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation (2024) Graph Contrastive and Self-Supervised Learning 83 Rating-Review Graph Contrastive Learning for Review-based Recommendation (2023) Graph Contrastive and Self-Supervised Learning |
Qiaoyu Tan 47
73 Graph Contrastive Learning With Personalized Augmentation (2024) Graph Contrastive and Self-Supervised Learning 65 GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (2024) Graph Contrastive and Self-Supervised Learning 56 Interest Driven Graph Structure Learning for Session-Based Recommendation (2023) Sequential and Session-Based Graph Recommendation |
| From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Recommendation
sigir26-039 · China
|
69 |
64 Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion (2023) Diffusion and Flow Recommenders 64 On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders (2025) Diffusion and Flow Recommenders 64 Addressing Missing Data Issue for Diffusion-based Recommendation (2025) Diffusion and Flow Recommenders Xuanhua Yang
57
71 Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding (2022) Diffusion and Flow Recommenders 57 GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation (2026) Generative Retrieval and Ranking 52 Breaking the Relevance-Diversity Seesaw: Hierarchical LLM Reasoning with RL for Industrial Novelty Recommendation (2026) Preference Alignment and Optimization Han Li 0005
55
71 DiffusionGS: Generative Search with Query Conditioned Diffusion in Kuaishou (2026) Diffusion and Flow Recommenders 61 Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation (2025) Sequential and Session-based Recommendation 54 OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion (2026) Recommendation with Search and Ranking |
Leyu Lin 56
61 Triple Sequence Learning for Cross-domain Recommendation (2024) Cross-Domain Sequential Recommendation 59 Personalized Prompt for Sequential Recommendation (2024) Sequential and Session-based Recommendation 59 Curriculum-scheduled knowledge distillation from multiple pre-trained teachers for multi-domain sequential recommendation (2025) Cross-Domain and Cross-Market Sequential Recommendation |
| From Interference to Stability: Adversarial Reliability Correction for Video Moment Retrieval with Relevance Feedback
sigir26-040 · China
2/3
|
71 |
100 Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval using Language (2024) Video and Moment Retrieval 100 PRVR: Partially Relevant Video Retrieval (2026) Video and Moment Retrieval 100 Temporal Sentence Grounding with Relevance Feedback in Videos (2024) Video and Moment Retrieval 100 Debiased Video-Text Retrieval via Soft Positive Sample Calibration (2023) Video and Moment Retrieval 100 Robust Video-Text Retrieval Via Noisy Pair Calibration (2023) Video and Moment Retrieval 100 Sequence-Event Semantic Consistent Learning for Text-to-Motion Retrieval (2025) Video and Moment Retrieval |
100 Maskable Retentive Network for Video Moment Retrieval (2024) Video and Moment Retrieval 100 Towards Efficient Partially Relevant Video Retrieval With Active Moment Discovering (2025) Video and Moment Retrieval 100 Video Corpus Moment Retrieval With Query-Specific Context Learning and Progressive Localization (2025) Video and Moment Retrieval |
| From Tokens to Concepts: Leveraging SAE for SPLADE
sigir26-041 · France
2/3
|
57 |
80 PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval (2021) Sparse and Dense Retrieval Encoders 80 Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction (2022) Sparse and Dense Retrieval Encoders 80 B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval (2021) Sparse and Dense Retrieval Encoders Jingtao Zhan
51
80 Scaling Laws For Dense Retrieval (2024) Sparse and Dense Retrieval Encoders 77 Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval (2024) Sparse and Dense Retrieval Encoders 71 An Analysis of BERT in Document Ranking (2020) Sparse and Dense Retrieval Encoders |
77 Unsupervised Dense Retrieval Training with Web Anchors (2023) Sparse and Dense Retrieval Encoders 74 COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning (2022) Sparse and Dense Retrieval Encoders 49 Selective Weak Supervision for Neural Information Retrieval (2020) Zero-Shot and Domain Generalization for Retrieval |
| Generative Bid Shading in Real-Time Bidding Advertising
sigir26-042 · China
|
100 |
Yusen Huo
100
100 Generative Auto-bidding via Conditional Diffusion Modeling (2024) Advertising and Auction Mechanisms 100 Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens (2025) Advertising and Auction Mechanisms 100 An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising (2025) Advertising and Auction Mechanisms 100 Generative Auto-bidding via Conditional Diffusion Modeling (2024) Advertising and Auction Mechanisms 100 GAM: A Generative Auto-Marketing Framework in Online E-commerce Platforms (2026) Advertising and Auction Mechanisms 100 Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens (2025) Advertising and Auction Mechanisms 100 Generative Auto-bidding via Conditional Diffusion Modeling (2024) Advertising and Auction Mechanisms 100 GAM: A Generative Auto-Marketing Framework in Online E-commerce Platforms (2026) Advertising and Auction Mechanisms 100 Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens (2025) Advertising and Auction Mechanisms |
28 Learning to aggregate vertical results into web search results (2011) Personalized and Context-Aware Retrieval 28 Vertical selection in the presence of unlabeled verticals (2010) Personalized and Context-Aware Retrieval 28 Sources of evidence for vertical selection (2009) Personalized and Context-Aware Retrieval |
| GNN-based Anchor Embedding for Efficient Subgraph Retrieval
sigir26-043 · China
2/3
|
77 |
Xiangyu Ke
77
59 Effective and Efficient Community Search with Graph Embeddings (2023) Knowledge Graph Embedding and Completion 59 Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities (2025) Approximate Nearest Neighbor Search 59 Academic Expert Finding via $(k, \mathcal{P})$-Core based Embedding over Heterogeneous Graphs (2022) Knowledge Graph Embedding and Completion Tianzhe Zhao
52
62 Context-Aware Commonsense Knowledge Graph Reasoning With Path-Guided Explanations (2024) Knowledge Graph Embedding and Completion 61 Untargeted Adversarial Attack on Knowledge Graph Embeddings (2024) Knowledge Graph Embedding and Completion 59 SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding (2025) Knowledge Graph Embedding and Completion |
63 Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation (2022) Knowledge Graph Embedding and Completion 63 Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation (2022) Knowledge Graph Embedding and Completion 38 Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation (2022) Graph-based User and Item Representation Learning |
| GNN-Based Item Indexing for LLM-Enhanced Recommendation
sigir26-044 · China
|
53 |
Xubin Ren
53
69 How Expressive are Graph Neural Networks in Recommendation? (2023) Graph-based User and Item Representation Learning 69 Disentangled Contrastive Collaborative Filtering (2023) Graph Contrastive and Self-Supervised Learning 65 LLMRec: Large Language Models with Graph Augmentation for Recommendation (2024) LLM-Derived Knowledge Infusion Wei Wei 0027
53
74 LLMRec: Large Language Models with Graph Augmentation for Recommendation (2024) Graph Pretraining and Foundation Models 51 DiffMM: Multi-Modal Diffusion Model for Recommendation (2024) Graph Contrastive and Self-Supervised Learning 50 SSLRec: A Self-Supervised Learning Framework for Recommendation (2024) Recommendation Systems and Evaluation Hyunsik Yoo
49
69 Directed Network Embedding with Virtual Negative Edges (2022) Graph-based User and Item Representation Learning 63 Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding (2023) Graph Anomaly and Out-of-Distribution Detection 43 Capturing User Interests from Data Streams for Continual Sequential Recommendation (2026) Efficient and Long-Sequence Sequential Recommendation |
Qiaoyu Tan 46
69 Gradient Rewiring for Editable Graph Neural Network Training (2024) Graph-based User and Item Representation Learning 46 Graph Contrastive Learning With Personalized Augmentation (2024) Graph Contrastive and Self-Supervised Learning 45 Temporal Augmented Graph Neural Networks for Session-Based Recommendations (2021) Sequential and Session-Based Graph Recommendation |
| Graph Diffusion Gated Embeddings for Recommender Systems
sigir26-045 · South Korea
|
70 |
Xurong Liang
70
100 Lightweight Embeddings with Graph Rewiring for Collaborative Filtering (2025) Graph-based User and Item Representation Learning 100 Lightweight Embeddings for Graph Collaborative Filtering (2024) Graph-based User and Item Representation Learning 68 Erratum: Lightweight Embeddings with Graph Rewiring for Collaborative Filtering (2026) Recommender Systems › Others 55 On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective (2025) Content-Based Transferable Recommendation 51 A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems (2025) Recommendation Systems and Evaluation 39 Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection (2026) Content-Based Transferable Recommendation Jianghong Ma
44
100 Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation (2023) Graph-based User and Item Representation Learning 65 Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure (2026) Graph-based User and Item Representation Learning 63 ExpGCN: Review-aware Graph Convolution Network for explainable recommendation (2023) Graph-based User and Item Representation Learning |
100 Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation (2022) Graph-based User and Item Representation Learning 69 Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering (2025) Embedding Compression and Quantization 53 Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing (2024) Efficient Retrieval and Indexing Systems › Others |
| Hierarchical Denoising Entire Space Multi-Task Model for Post-Click Conversion Rate Prediction with Noisy Labels
sigir26-046 · China
|
79 |
Ke Fei
79
76 Stable and Adaptive Fusion for Multi-domain Multi-task Recommendation (2026) Multi-Scenario and Multi-Domain CTR Prediction 70 Inverse Contrastive Representation Learning for Post-Click Conversion Rate Estimation (2026) CTR and Conversion Rate Prediction 70 Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction (2025) CTR and Conversion Rate Prediction Junwei Pan
70
100 Ads Recommendation in a Collapsed and Entangled World (2024) CTR and Conversion Rate Prediction 70 Understanding the Ranking Loss for Recommendation with Sparse User Feedback (2024) CTR and Conversion Rate Prediction 70 Cross-Task Knowledge Distillation in Multi-Task Recommendation (2022) Multi-Task and Multi-Objective Optimization Yimeng Bai
58
70 GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting (2024) Multi-Task and Multi-Objective Optimization 69 Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems (2025) CTR and Conversion Rate Prediction 44 LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting (2024) Recommendation Systems and Evaluation |
Yanan Niu 56
76 PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information (2023) Multi-Scenario and Multi-Domain CTR Prediction 75 TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou (2024) CTR and Conversion Rate Prediction 70 LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting (2024) Multi-Task and Multi-Objective Optimization |
| Hierarchical Embedding Fusion for Retrieval-Augmented Code Generation
sigir26-047 · Russia
2/3
|
65 |
82 Activation Caching for Retrieval-Augmented Generation (2026) Efficient and Long-Context RAG 49 The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG (2026) Efficient and Long-Context RAG 47 Latent Retrieval Augmented Generation (2026) Efficient and Long-Context RAG Corby Rosset
40
64 Optimizing Query Evaluations Using Reinforcement Learning for Web Search (2018) Efficient Retrieval and Indexing 63 Dodo: Dynamic Contextual Compression for Decoder-only LMs (2024) Learned Sparse Retrieval Efficiency 37 Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories (2023) Retrieval-Augmented Generation › Others |
Hongjin Qian 51
47 RetroLM: Retrieval-Augmented KVs for Long-Context Processing (2026) Efficient and Long-Context RAG 47 MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation (2025) Efficient and Long-Context RAG 47 Boosting Long-Context Information Seeking via Query-Guided Activation Refilling (2025) Efficient and Long-Context RAG |
| How Far Are We from Automatically Identifying Violations of the Data Minimization Principle in Privacy Policies?
sigir26-048 · China
2/3
|
100 |
100 Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study (2025) Fairness Metrics and Evaluation 100 Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance (2024) Fairness Metrics and Evaluation 100 Relevance-aware Individual Item Fairness Measures for Recommender Systems: Limitations and Usage Guidelines (2026) Fairness Metrics and Evaluation 100 Optimizing Learning-to-Rank Models for Ex-Post Fair Relevance (2024) Fairness Metrics and Evaluation 100 Sampling Individually-Fair Rankings that are Always Group Fair (2023) Fairness Metrics and Evaluation 100 Pairwise Sample Complexity for Fair Active Ranking with Cascaded Norm Objectives (2025) Fairness Metrics and Evaluation |
Xin Xin 0003 33
41 Learning Robust Recommenders through Cross-Model Agreement (2022) Popularity Bias and Debiasing in Recommendation 40 How graph convolutions amplify popularity bias for recommendation? (2024) Popularity Bias and Debiasing in Recommendation 37 PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation (2024) Ranking Losses and Objectives |
| Improving Interpretability of Cognitive Diagnosis Models with LLM-based Semantic Augmentation
sigir26-049 · China
2/3
|
41 |
Weizhou Shen
41
68 Multi-Party Conversation Modeling for Emotion Recognition (2024) Social Media and User Modelling 68 DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition (2021) Social Media and User Modelling 68 Directed Acyclic Graph Network for Conversational Emotion Recognition (2021) Social Media and User Modelling 73 Patent partner recommendation in enterprise social networks (2013) Social Media and User Modelling 68 Confluence: conformity influence in large social networks (2013) Social Media and User Modelling 68 MetaFac: community discovery via relational hypergraph factorization (2009) Social Media and User Modelling |
Ziyi Ye 39
68 SimVBG: Simulating Individual Values by Backstory Generation (2025) User Profile and Persona Modeling 68 Individual Turing Test: A Case Study of LLM-based Simulation Using Longitudinal Personal Data (2026) User Profile and Persona Modeling 68 Understanding the Effect of Opinion Polarization in Short Video Browsing (2025) Social Media and User Modelling |
| Inferring Targets from Calibrated Hesitations via Mutual Information Maximization in Multi-Behavior Recommendation
sigir26-050 · China, Japan
2/3
|
52 |
79 Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation (2023) Multi-Behavior Recommendation 73 Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework (2023) Explainable and Causal Recommendation 65 Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System (2023) Multi-Behavior and Multi-Interest Sequential Recommendation Ziru Liu
46
71 Modeling User Retention through Generative Flow Networks (2024) Multi-Behavior Recommendation 66 Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention (2024) Multi-Behavior and Multi-Interest Sequential Recommendation 65 KuaiSim: A Comprehensive Simulator for Recommender Systems (2023) Recommendation Systems and Evaluation |
Yanan Niu 52
79 Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation (2023) Multi-Behavior and Multi-Interest Sequential Recommendation 79 Dual-interest Factorization-heads Attention for Sequential Recommendation (2023) Multi-Behavior and Multi-Interest Sequential Recommendation 65 Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System (2023) Multi-Behavior and Multi-Interest Sequential Recommendation |
| Internalizing Explicit Reasoning into Latent Space for Dense Retrieval
sigir26-051 · China, United States
|
56 |
58 Data Augmentation for Sample Efficient and Robust Document Ranking (2024) Ranking Distillation and Adaptation 54 Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders (2024) Learned Sparse Retrieval Efficiency 54 Efficient Neural Ranking using Forward Indexes (2022) Learned Sparse Retrieval Efficiency 53 PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval (2021) Sparse and Dense Retrieval Encoders 53 B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval (2021) Sparse and Dense Retrieval Encoders 52 A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval (2022) Dense Bi-Encoder Training and Representation Learning Keping Bi
50
55 CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval (2025) Dense Bi-Encoder Training and Representation Learning 52 L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations (2023) Efficient Retrieval and Indexing Systems › Others 49 Extracting search-focused key n-grams for relevance ranking in web search (2012) Web-Scale Learning to Rank |
Kam-Fai Wong 44
58 Query Weighting for Ranking Model Adaptation (2011) Ranking Distillation and Adaptation 58 Learning to rank only using training data from related domain (2010) Ranking Distillation and Adaptation 45 UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval (2024) Conversational Search and Retrieval |
| Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval
sigir26-052 · Germany
2/3
|
68 |
63 Counterfactual Debiasing for Fact Verification (2023) Popularity Bias and Debiasing in Recommendation 62 Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables (2024) Automated Fact Checking and Claim Verification 62 Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention (2022) Automated Fact Checking and Claim Verification Venktesh V
46
62 The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval (2025) Automated Fact Checking and Claim Verification 62 FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking (2025) Automated Fact Checking and Claim Verification 49 Reproducing Adaptive Reranking for Reasoning-Intensive IR (2026) Evidence Selection and Context Refinement |
42 Investigating Passage-level Relevance and Its Role in Document-level Relevance Judgment (2019) User Behavior and Search Interaction 40 Leveraging Passage-level Cumulative Gain for Document Ranking (2020) Cross-Encoder and Neural Reranking 40 Leveraging Document-Level and Query-Level Passage Cumulative Gain for Document Ranking (2022) Cross-Encoder and Neural Reranking |
| Large-Scale Online Learning for Generative List Recommendation in E-commerce: An Environment Policy Optimization Approach
sigir26-053 · China, United States
|
57 |
61 Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation (2025) Diffusion and Flow Recommenders 60 Modeling User Retention through Generative Flow Networks (2024) Diffusion and Flow Recommenders 56 Multi-Task Recommendations with Reinforcement Learning (2023) Offline RL for Recommendation Ed H. Chi
55
70 Recommender Systems with Generative Retrieval (2023) Item Tokenization and Semantic IDs 62 PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations (2026) Item Tokenization and Semantic IDs 52 Top-K Off-Policy Correction for a REINFORCE Recommender System (2019) Long-Term Engagement and Retention Optimization Yuta Saito
54
58 Off-Policy Evaluation of Ranking Policies under Diverse User Behavior (2023) Recommendation with Search and Ranking 55 Evaluating the Robustness of Off-Policy Evaluation (2021) Recommendation Systems and Evaluation 53 Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions (2020) CTR and Conversion Rate Prediction |
Xiaoyi Zeng 48
87 RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation (2026) Generative Retrieval and Ranking 69 REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems (2026) Item Tokenization and Semantic IDs 54 Scaling Transformers for Discriminative Recommendation via Generative Pretraining (2025) Language Model Pre-training and Adaptation |
| Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation
sigir26-054 · United States
2/3
|
60 |
Yupeng Hou
59
76 ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation (2025) Item Tokenization and Semantic IDs 73 Towards Large Generative Recommendation: A Tokenization Perspective (2025) Item Tokenization and Semantic IDs 72 Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders (2023) Item Tokenization and Semantic IDs 76 Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation (2024) Generative Recommendation and Item Tokenization 73 Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation (2025) Item Tokenization and Semantic IDs 64 Generative Recommender with End-to-End Learnable Item Tokenization (2025) Item Tokenization and Semantic IDs |
75 Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs (2025) Item Tokenization and Semantic IDs 62 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation 62 Empowering Denoising Sequential Recommendation with Large Language Model Embeddings (2025) Sequential and Session-based Recommendation |
| Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment
sigir26-055 · China
|
62 |
Yuzhong Qu
62
67 Revisiting Embedding-Based Entity Alignment: A Robust and Adaptive Method (2023) Entity Linking and Alignment 67 Facilitating Entity Navigation Through Top-K Link Patterns (2015) Entity Linking and Alignment 67 Summarizing Entity Descriptions for Effective and Efficient Human-centered Entity Linking (2015) Entity Linking and Alignment 70 LinkGPT: Leveraging Large Language Models for Enhanced Link Prediction in Text-Attributed Graphs (2025) Knowledge Graph Embedding and Completion 67 TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning (2024) Graph Pretraining and Foundation Models 56 Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices (2024) Graph Learning for Text-Attributed and Heterogeneous Networks 67 Probing Relative Interaction and Dynamic Calibration in Multi-modal Entity Alignment (2025) Entity Linking and Alignment 67 SGMEA: Structure-Guided Multimodal Entity Alignment (2025) Entity Linking and Alignment 67 Breaking the Noise Barrier: LLM-Guided Semantic Filtering and Enhancement for Multi-Modal Entity Alignment (2025) Entity Linking and Alignment |
Qiaoyu Tan 37
64 UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding (2025) Text Embedding and Representation Learning 60 AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning (2026) RL Training of Search Agents 52 GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (2024) Graph Contrastive and Self-Supervised Learning |
| Learning to Rank with Multi-Criteria LLM-Judge Annotations
sigir26-056 · United States
|
59 |
68 On the Use of LLMs for Relevance Labelling (2026) LLM-Based Relevance Assessment 65 System Comparison Using Automated Generation of Relevance Judgements in Multiple Languages (2025) LLM-Based Relevance Assessment 65 LLM4Eval: Large Language Model for Evaluation in IR (2025) LLM-Based Relevance Assessment 73 Rax: Composable Learning-to-Rank Using JAX (2022) Retrieval Toolkits and Reproducibility 70 Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance (2023) Ranking Losses and Objectives 69 Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing (2024) LLM-Based Reranking 73 Rax: Composable Learning-to-Rank Using JAX (2022) Retrieval Toolkits and Reproducibility 69 Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing (2024) LLM-Based Reranking 65 Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance (2023) Ranking Losses and Objectives |
65 Regularizing ad hoc retrieval scores (2005) Ranking Losses and Objectives 41 Offline Retrieval Evaluation Without Evaluation Metrics (2022) Evaluation Metrics and User Models 41 Diversification as Risk Minimization (2026) Evaluation Metrics and User Models |
| Looking for the Bottleneck in Fine-grained Temporal Relation Classification
sigir26-057 · Portugal
|
62 |
Weipeng Chen
62
100 Exploring Context Window of Large Language Models via Decomposed Positional Vectors (2024) Language Model Pre-training and Adaptation 100 DataSculpt: A Holistic Data Management Framework for Long-Context LLMs Training (2025) Language Model Pre-training and Adaptation 100 SysBench: Can LLMs Follow System Message? (2025) Language Model Pre-training and Adaptation Di Wu 0054
57
100 Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks (2023) Language Model Pre-training and Adaptation 100 Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models (2023) Language Model Pre-training and Adaptation 100 On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation (2024) Language Model Pre-training and Adaptation Xi Ye 0003
56
100 The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning (2022) Language Model Pre-training and Adaptation 100 Assessing Out-of-Domain Language Model Performance from Few Examples (2023) Language Model Pre-training and Adaptation 100 LoFiT: Localized Fine-tuning on LLM Representations (2024) Language Model Pre-training and Adaptation |
Xiaoye Qu 49
100 LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training (2024) Language Model Pre-training and Adaptation 100 Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts (2025) Language Model Pre-training and Adaptation 100 Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment (2025) Language Model Pre-training and Adaptation |
| MCP-Focus: Leveraging Function-Oriented Document Enhancement for MCP Server Retrieval
sigir26-058 · China, United States
2/3
|
60 |
Wonduk Seo
60
62 Automated Visualization Code Synthesis via Multi-path Reasoning and Feedback-Driven Optimizations (2026) Reasoning Evaluation and Benchmarks 40 SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science (2026) Multi-Agent and Tool-Use Orchestration 39 A New Query Expansion Approach for Enhancing Information Retrieval via Agent-Mediated Dialogic Inquiry (2026) Query Reformulation and Expansion Kaixin Ma
47
62 DSBench: How Far Are Data Science Agents from Becoming Data Science Experts? (2025) Reasoning Evaluation and Benchmarks 55 Retrieval-augmented GUI Agents with Generative Guidelines (2025) Agentic and Deep Search RAG 47 Dense X Retrieval: What Retrieval Granularity Should We Use? (2024) Evidence Selection and Context Refinement |
62 DeepAgent: A General Reasoning Agent with Scalable Toolsets (2026) Reasoning Evaluation and Benchmarks 41 UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models (2024) Generative Retrieval 40 RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation (2025) Agentic and Deep Search RAG |
| MECI: Multi-Element Collaborative Interaction for Multimodal Entity Linking
sigir26-059 · China
2/3
|
63 |
Xuhui Sui
63
64 ZS-MNET: A zero-shot learning based approach to multimodal named entity typing (2025) Universal Multimodal Embedding and MLLM Retrieval 64 MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction (2024) Universal Multimodal Embedding and MLLM Retrieval 64 Multimodal Graph-Based Variational Mixture of Experts Network for Zero-Shot Multimodal Information Extraction (2025) Universal Multimodal Embedding and MLLM Retrieval Xinying Qian
54
63 SMIR: Span-based multi-grained information refinement for joint multimodal entity-relation extraction (2026) Universal Multimodal Embedding and MLLM Retrieval 63 Hyperbolic Multimodal Generative Representation Learning for Generalized Zero-Shot Multimodal Information Extraction (2026) Universal Multimodal Embedding and MLLM Retrieval 39 TimeR⁴ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering (2024) Multi-Hop and Iterative Retrieval Reasoning |
Hao Fei 0001 35
63 From Data Deluge to Data Curation: A Filtering-WoRA Paradigm for Efficient Text-based Person Search (2025) Universal Multimodal Embedding and MLLM Retrieval 38 CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs (2025) Multimodal Evaluation and Benchmarks 38 On Path to Multimodal Generalist: General-Level and General-Bench (2025) Multimodal Evaluation and Benchmarks |
| Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation
sigir26-060 · Austria
2/3
|
56 |
Jianghong Ma
42
74 CoDeR+: Interest-aware Counterfactual Reasoning for Sequential Recommendation (2026) Explainable and Causal Recommendation 74 CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation (2025) Explainable and Causal Recommendation 69 Correlation-Driven Explainable Recommendation With Aspect and Rating Boosted Representation Learning: A Unified Joint-Ranking Framework (2025) Explainable and Causal Recommendation Xialong Liu
41
69 S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain (2025) Diffusion and Flow Recommenders 62 Expert-Guided Diffusion Planner for Auto-Bidding (2025) Advertising and Auction Mechanisms 49 CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems (2022) Recommendation with Search and Ranking |
Yanan Niu 47
71 Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework (2023) Explainable and Causal Recommendation 65 Disentangled Interest Network for Out-of-Distribution CTR Prediction (2026) CTR and Conversion Rate Prediction 47 RecFlow: An Industrial Full Flow Recommendation Dataset (2025) Recommendation Systems and Evaluation |
| Mitigating Adversarial Attacks by Transferring LLM-generated Narrative Reasoning for Robust Fake News Detection
sigir26-061 · China
2/3
|
58 |
Bo Wang 0069
57
44 Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models (2024) Multimodal Fake News Detection 44 ExplainHM++: Explainable Harmful Meme Detection With Retrieval-Augmented Debate Between Large Multimodal Models (2026) Multimodal Fake News Detection 44 GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse (2026) Multimodal Fake News Detection 83 How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis (2025) Social Media and User Modelling 60 TwiBot-22: Towards Graph-Based Twitter Bot Detection (2022) Social Media and User Modelling 48 Bridging Interests and Truth: Towards Mitigating Fake News with Personalized and Truthful Recommendations (2025) Diffusion and Flow Recommenders |
60 Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting (2023) Social Media and User Modelling 60 NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly (2023) Social Media and User Modelling 44 InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection (2021) Multimodal Fake News Detection |
| Mitigating Evidence Suppression: Bi-level Active Evidence Injection for Educational Video Understanding
sigir26-062 · China
|
82 |
Zihao Yue
82
100 OpenMMEgo: Enhancing Egocentric Understanding for LMMs with Open Weights and Data (2025) Video and Temporal Understanding 100 Movie101v2: Improved Movie Narration Benchmark (2025) Video and Temporal Understanding 100 Movie101: A New Movie Understanding Benchmark (2023) Video and Temporal Understanding 67 mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models (2025) Video and Temporal Understanding 67 TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging (2024) Multimodal Evaluation and Benchmarks 67 Hallucination Augmented Contrastive Learning for Multimodal Large Language Model (2024) Multimodal Evaluation and Benchmarks 71 Multimodal Dialogue State Tracking (2022) Conversational Search and Retrieval 67 Topic-Aware Pointer-Generator Networks for Summarizing Spoken Conversations (2019) Multimodal Evaluation and Benchmarks 67 Controllable Neural Dialogue Summarization with Personal Named Entity Planning (2021) Multimodal Evaluation and Benchmarks |
Hao Fei 0001 52
67 Evaluating and Mitigating Relationship Hallucinations in Large Vision-Language Models (2026) Multimodal Evaluation and Benchmarks 67 Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining (2025) Multimodal Evaluation and Benchmarks 67 CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs (2025) Multimodal Evaluation and Benchmarks |
| Mitigating Structural Overfitting: A Distribution-Aware Rectification Framework for Missing Feature Imputation
sigir26-063 · China, United States
2/3
|
79 |
100 GOODAT: Towards Test-Time Graph Out-of-Distribution Detection (2024) Graph Anomaly and Out-of-Distribution Detection 100 GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection (2023) Graph Anomaly and Out-of-Distribution Detection 100 Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark (2025) Graph Anomaly and Out-of-Distribution Detection Fangzhou Yao
45
100 Federated Self-Explaining GNNs with Anti-shortcut Augmentations (2024) Graph Anomaly and Out-of-Distribution Detection 100 Empowering Federated Graph Rationale Learning with Latent Environments (2025) Graph Anomaly and Out-of-Distribution Detection 100 Cooperative Classification and Rationalization for Graph Generalization (2024) Graph Anomaly and Out-of-Distribution Detection |
Qiaoyu Tan 32
61 TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks (2025) Graph Anomaly and Out-of-Distribution Detection 42 GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (2024) Graph Contrastive and Self-Supervised Learning 42 Graph Contrastive Learning With Personalized Augmentation (2024) Graph Contrastive and Self-Supervised Learning |
| Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation
sigir26-064 · China
2/3
|
63 |
Qingyi Si
54
58 Combo of Thinking and Observing for Outside-Knowledge VQA (2023) Retrieval-Augmented and Open-Domain QA 57 Object Attribute Matters in Visual Question Answering (2024) Multimodal Reasoning and Grounding 57 Check It Again: Progressive Visual Question Answering via Visual Entailment (2021) Multimodal Reasoning and Grounding 57 Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models (2024) Multimodal Reasoning and Grounding 54 An Investigation of End-to-End Models for Robust Speech Recognition (2021) Multimodal Retrieval and Embedding 54 How Accents Confound: Probing for Accent Information in End-to-End Speech Recognition Systems (2020) Multimodal Retrieval and Embedding |
Xiaoye Qu 48
87 SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information (2024) Evidence Selection and Context Refinement 72 Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation (2025) Knowledge Conflict and Faithfulness 59 Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models (2026) Multimodal Evaluation and Benchmarks |
| Multi-Vector Index Compression in Any Modality
sigir26-065 · United States
2/3
|
72 |
66 RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference (2026) Learned Sparse Retrieval Efficiency 66 RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval (2025) Learned Sparse Retrieval Efficiency 66 SCBench: A KV Cache-Centric Analysis of Long-Context Methods (2025) Learned Sparse Retrieval Efficiency 68 Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations (2021) Learned Sparse Retrieval Efficiency 67 One Blade for One Purpose: Advancing Math Information Retrieval using Hybrid Search (2023) Learned Sparse Retrieval Efficiency 64 Mm-Embed: Universal Multimodal Retrieval with Multimodal LLMS (2025) Universal Multimodal Embedding and MLLM Retrieval |
Xiaoyi Zeng 40
68 Delving into E-Commerce Product Retrieval with Vision-Language Pre-training (2023) Universal Multimodal Embedding and MLLM Retrieval 66 COURIER: contrastive user intention reconstruction for large-scale visual recommendation (2025) Universal Multimodal Embedding and MLLM Retrieval 38 MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation (2026) Item Tokenization and Semantic IDs |
| Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
sigir26-066 · China, United States
|
65 |
Yongxin Ni
60
75 Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation (2025) Multimodal Generative Recommendation 74 Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited (2023) Multimodal Generative Recommendation 74 Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation (2023) Multimodal Generative Recommendation Jiancan Wu
56
58 AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization (2025) Preference Alignment and Optimization 58 Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization (2025) Preference Alignment and Optimization 58 Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? (2025) Preference Alignment and Optimization Junchen Fu
55
74 Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation (2025) Multimodal Generative Recommendation 74 IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT (2024) Multimodal Generative Recommendation 74 NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation (2025) Multimodal Generative Recommendation |
78 Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs (2025) Item Tokenization and Semantic IDs 59 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation 59 Empowering Denoising Sequential Recommendation with Large Language Model Embeddings (2025) Sequential and Session-based Recommendation |
| MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender
sigir26-067 · South Korea
|
56 |
Han Li 0005
55
76 Generative Recommender with End-to-End Learnable Item Tokenization (2025) Item Tokenization and Semantic IDs 74 DualGR: Generative Retrieval with Long and Short-Term Interests Modeling (2026) Generative Retrieval and Ranking 74 Making Transformer Decoders Better Differentiable Indexers (2025) Generative Retrieval and Ranking 79 Efficient Inference for Large Language Model-based Generative Recommendation (2025) Generative Retrieval and Ranking 79 EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens (2025) Generative Retrieval and Ranking 73 Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation (2024) Generative Recommendation and Item Tokenization 75 Inductive Generative Recommendation via Retrieval-based Speculation (2026) Generative Retrieval and Ranking 73 Multi-Behavior Generative Recommendation (2024) Generative Retrieval and Ranking 54 Towards Large Generative Recommendation: A Tokenization Perspective (2025) Item Tokenization and Semantic IDs |
69 NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations (2026) Generative Retrieval and Ranking 67 Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs (2025) Item Tokenization and Semantic IDs 47 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation |
| NeuCon-ICE: Neuron-Level Controllable In-Context Editing for Multimodal Large Language Models
sigir26-068 · China
|
70 |
Zihao Yue
70
100 Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (2024) Multimodal Evaluation and Benchmarks 100 ChartM3: Benchmarking Chart Editing with Multimodal Instructions (2025) Multimodal Evaluation and Benchmarks 100 Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation (2023) Multimodal Evaluation and Benchmarks 100 AMICO: A Semantic and Multimodal Framework for AI-Assisted Clinical Reporting (2025) Multimodal Evaluation and Benchmarks 67 A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare (2025) Retrieval-Augmented and Open-Domain QA 64 SynthMed: Generating and Detecting Multimodal Deepfakes for Healthcare Communication (2025) Multimodal Fake News Detection 100 Controllable Neural Dialogue Summarization with Personal Named Entity Planning (2021) Multimodal Evaluation and Benchmarks 100 Entity-based De-noising Modeling for Controllable Dialogue Summarization (2022) Multimodal Evaluation and Benchmarks 100 Topic-Aware Pointer-Generator Networks for Summarizing Spoken Conversations (2019) Multimodal Evaluation and Benchmarks |
Hao Fei 0001 49
100 NExT-GPT: Any-to-Any Multimodal LLM (2024) Multimodal Evaluation and Benchmarks 100 CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs (2025) Multimodal Evaluation and Benchmarks 100 On Path to Multimodal Generalist: General-Level and General-Bench (2025) Multimodal Evaluation and Benchmarks |
| NeurPIU: Neurobiologically Inspired Personalized Intent Understanding in Large Language Models
sigir26-069 · China
2/3
|
61 |
85 Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism (2024) Conversational Search and Retrieval 62 Incorporating Explicit Subtopics in Personalized Search (2023) User Behavior and Search Interaction 62 Intent-Oriented Dynamic Interest Modeling for Personalized Web Search (2024) User Behavior and Search Interaction 66 Pairwise Review-Based Explanations for Voice Product Search (2022) Conversational Search and Retrieval 66 On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search (2021) Conversational Search and Retrieval 63 What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation (2020) Conversational Recommendation Systems |
Kam-Fai Wong 61
72 MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents (2026) Personalized and Conversational RAG 69 UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval (2024) Conversational Search and Retrieval 68 Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models (2023) Conversational Search and Retrieval |
| One-for-All Community Search on Unseen Graphs
sigir26-070 · Australia, China, Denmark
|
79 |
100 Knowledge Graph Embedding: A Locally and Temporally Adaptive Translation-Based Approach (2018) Knowledge Graph Embedding and Completion 100 Locally Adaptive Translation for Knowledge Graph Embedding (2016) Knowledge Graph Embedding and Completion 100 Shared Embedding Based Neural Networks for Knowledge Graph Completion (2018) Knowledge Graph Embedding and Completion Ben Liu 0002
75
100 UniLP: Unified Topology-aware Generative Framework for Link Prediction in Knowledge Graph (2024) Knowledge Graph Embedding and Completion 100 Clarified Aggregation and Predictive Modeling (CAPM): High-Interpretability Framework for Inductive Link Prediction (2024) Knowledge Graph Embedding and Completion 100 Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion (2025) Knowledge Graph Embedding and Completion Jiapu Wang
64
100 IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion (2024) Knowledge Graph Embedding and Completion 100 TDN: Triplet Distributor Network for Knowledge Graph Completion (2023) Knowledge Graph Embedding and Completion 100 MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion (2024) Knowledge Graph Embedding and Completion |
63 Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation (2022) Knowledge Graph Embedding and Completion 63 Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation (2022) Knowledge Graph Embedding and Completion 32 LightReasoner: Can Small Language Models Teach Large Language Models Reasoning? (2026) Reward Modeling and Process Supervision |
| OntoEL: Neuro-Symbolic Biomedical Entity Linking with Differentiable Fuzzy EL⊥ Reasoning
sigir26-071 · United States
|
64 |
Yuzhong Qu
64
100 Revisiting Embedding-Based Entity Alignment: A Robust and Adaptive Method (2023) Entity Linking and Alignment 100 Facilitating Entity Navigation Through Top-K Link Patterns (2015) Entity Linking and Alignment 100 Incorporating compactness to generate term-association view snippets for ontology search (2013) Entity Linking and Alignment 100 Probing Relative Interaction and Dynamic Calibration in Multi-modal Entity Alignment (2025) Entity Linking and Alignment 100 SGMEA: Structure-Guided Multimodal Entity Alignment (2025) Entity Linking and Alignment 100 Breaking the Noise Barrier: LLM-Guided Semantic Filtering and Enhancement for Multi-Modal Entity Alignment (2025) Entity Linking and Alignment 100 Probing Relative Interaction and Dynamic Calibration in Multi-modal Entity Alignment (2025) Entity Linking and Alignment 100 SGMEA: Structure-Guided Multimodal Entity Alignment (2025) Entity Linking and Alignment 100 Breaking the Noise Barrier: LLM-Guided Semantic Filtering and Enhancement for Multi-Modal Entity Alignment (2025) Entity Linking and Alignment |
66 Word-Entity Duet Representations for Document Ranking (2017) Entity Linking and Alignment 63 EsdRank: Connecting Query and Documents through External Semi-Structured Data (2015) Entity Linking and Alignment 33 Few-Shot Conversational Dense Retrieval (2021) Conversational Search and Retrieval |
| OPS: An Order-Preserving Sorting Network for Information Retrieval
sigir26-072 · China
2/3
|
50 |
100 RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses (2023) Ranking Losses and Objectives 100 Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance (2023) Ranking Losses and Objectives 100 Scale Calibration of Deep Ranking Models (2022) Ranking Losses and Objectives 100 On Optimizing Top-K Metrics for Neural Ranking Models (2022) Ranking Losses and Objectives 75 Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance (2023) Ranking Losses and Objectives 68 RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses (2023) Cross-Encoder and Neural Reranking |
100 Regularizing ad hoc retrieval scores (2005) Ranking Losses and Objectives 37 Learning to aggregate vertical results into web search results (2011) Personalized and Context-Aware Retrieval 37 Sources of evidence for vertical selection (2009) Personalized and Context-Aware Retrieval |
| Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment
sigir26-073 · China
2/3
|
68 |
Zechun Niu
49
59 Addressing Personalized Bias for Unbiased Learning to Rank (2025) Unbiased Learning to Rank 45 Distributionally Robust Optimization for Unbiased Learning to Rank (2025) Unbiased Learning to Rank 43 Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study (2025) Unbiased Learning to Rank Yimeng Bai
47
70 Recommendation Unlearning via Influence Function (2025) Efficient Training and Data Optimization 43 LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting (2024) Recommendation Systems and Evaluation 43 Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework (2023) Recommendation Systems and Evaluation |
Xin Xin 0003 42
57 How graph convolutions amplify popularity bias for recommendation? (2024) Popularity Bias and Debiasing in Recommendation 49 Learning Robust Recommenders through Cross-Model Agreement (2022) Popularity Bias and Debiasing in Recommendation 45 Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure (2025) Contrastive and Self-Supervised Sequential Recommendation |
| Pretrain-then-Adapt: Uncertainty-Aware Test-Time Adaptation for Text-based Person Search
sigir26-074 · China
2/3
|
84 |
Haokun Wen
84
100 FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval 100 Pseudo Triplet Guided Few-shot Composed Image Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval 100 Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval (2024) Universal Multimodal Embedding and MLLM Retrieval Meiyu Liang
49
100 Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval 100 Knowledge Graph Enhanced Multimodal Transformer for Image-Text Retrieval (2024) Universal Multimodal Embedding and MLLM Retrieval 47 Unsupervised Multimodal Graph Contrastive Semantic Anchor Space Dynamic Knowledge Distillation Network for Cross-Media Hash Retrieval (2024) Cross-Modal Hashing and Quantization |
Xiaoye Qu 41
76 CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling (2025) Universal Multimodal Embedding and MLLM Retrieval 45 Reducing the Vision and Language Bias for Temporal Sentence Grounding (2022) Video and Moment Retrieval 45 Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval (2023) Video and Moment Retrieval |
| ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory
sigir26-075 · Australia, China, United States
2/3
|
56 |
58 SyncTalklip: Highly Synchronized Lip-Readable Speaker Generation with Multi-Task Learning (2024) Multimodal Retrieval and Embedding 58 Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets (2025) Multimodal Retrieval and Embedding 58 ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control (2025) Multimodal Retrieval and Embedding Tingyu Song
45
58 VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos (2025) Video and Temporal Understanding 56 Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing (2026) Universal Multimodal Embedding and MLLM Retrieval 40 LimRank: Less is More for Reasoning-Intensive Information Reranking (2025) Evidence Selection and Context Refinement |
Xiaoye Qu 51
73 SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information (2024) Evidence Selection and Context Refinement 70 Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation (2025) Knowledge Conflict and Faithfulness 57 Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models (2026) Multimodal Evaluation and Benchmarks |
| ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems
sigir26-076 · Australia, China
|
61 |
Huifeng Guo
53
63 SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems (2025) LLM-Derived Knowledge Infusion 62 Prompt Tuning as User Inherent Profile Inference Machine (2025) Efficiency and Deployment 54 LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models (2025) Domain-Specific and Structured Retrieval Wei Wei 0027
48
70 LLMRec: Large Language Models with Graph Augmentation for Recommendation (2024) Graph Pretraining and Foundation Models 53 Representation Learning with Large Language Models for Recommendation (2024) Text Embedding and Representation Learning 51 GraphGPT: Graph Instruction Tuning for Large Language Models (2024) KG-Augmented LLM Reasoning Lingling Yi
46
75 TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance (2025) LLM-Derived Knowledge Infusion 51 PRECISE: Pre-training and Fine-tuning Sequential Recommenders with Collaborative and Semantic Information (2025) Sequential and Session-based Recommendation 44 Item-Provider Co-learning for Sequential Recommendation (2022) Graph Contrastive and Self-Supervised Learning |
69 Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation (2025) Multimodal Generative Recommendation 59 Boosting Guided Diffusion with Large Language Models for Multimodal Sequential Recommendation (2025) Diffusion and Flow Recommenders 46 Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation (2026) Content-Based Transferable Recommendation |
| R3Check: Reinforcement Learning for Iterative Retrieval and Structured Reasoning in Complex Fact Checking
sigir26-077 · Singapore
2/3
|
71 |
63 FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation (2025) Automated Fact Checking and Claim Verification 63 Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding (2024) Automated Fact Checking and Claim Verification 44 From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models (2026) Reward Modeling and Process Supervision Qisheng Hu
57
87 Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification (2026) Automated Fact Checking and Claim Verification 63 Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance? (2025) Automated Fact Checking and Claim Verification 34 Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance (2025) Multi-hop and Complex Reasoning QA |
Dacheng Tao 45
63 SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data (2025) RL Training of Search Agents 52 Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning (2025) Reward Modeling and Process Supervision 48 R1-VL: Learning to Reason with Multimodal Large Language Models via Step-Wise Group Relative Policy Optimization (2025) Multimodal Reasoning and Grounding |
| ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained Alignment
sigir26-078 · China
2/3
|
68 |
68 Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing (2026) Universal Multimodal Embedding and MLLM Retrieval 68 Towards Text-Image Interleaved Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval 68 Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs (2025) Universal Multimodal Embedding and MLLM Retrieval 68 Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning (2026) Universal Multimodal Embedding and MLLM Retrieval 68 Modeling Uncertainty in Composed Image Retrieval via Probabilistic Embeddings (2025) Universal Multimodal Embedding and MLLM Retrieval 68 Imagine with Layout and Sketch: Enhancing Vision-Language Retrieval with Dual-Stream Multi-Modal Query Refinement (2026) Universal Multimodal Embedding and MLLM Retrieval |
51 Leveraging Document-Level and Query-Level Passage Cumulative Gain for Document Ranking (2022) Cross-Encoder and Neural Reranking 51 Leveraging Passage-level Cumulative Gain for Document Ranking (2020) Cross-Encoder and Neural Reranking 41 Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback (2024) Ranking Distillation and Adaptation |
| RegionSLM: Region-aware Question Answering on Document Screenshots
sigir26-079 · Australia, China
2/3
|
67 |
68 Improving One-Stage Visual Grounding by Recursive Sub-query Construction (2020) Universal Multimodal Embedding and MLLM Retrieval 68 A Fast and Accurate One-Stage Approach to Visual Grounding (2019) Universal Multimodal Embedding and MLLM Retrieval 68 Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models (2017) Universal Multimodal Embedding and MLLM Retrieval 68 VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval (2024) Universal Multimodal Embedding and MLLM Retrieval 68 MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval 68 Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval |
Xiaoye Qu 42
69 CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling (2025) Universal Multimodal Embedding and MLLM Retrieval 45 Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation (2025) Knowledge Conflict and Faithfulness 44 SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information (2024) Evidence Selection and Context Refinement |
| RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation
sigir26-080 · Australia, China
|
64 |
Tianzhe Zhao
56
71 Untargeted Adversarial Attack on Knowledge Graph Embeddings (2024) Knowledge Graph Embedding and Completion 63 Context-Aware Commonsense Knowledge Graph Reasoning With Path-Guided Explanations (2024) Knowledge Graph Embedding and Completion 62 Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis (2025) Knowledge Graph Embedding and Completion Xiangyu Ke
54
62 Academic Expert Finding via $(k, \mathcal{P})$-Core based Embedding over Heterogeneous Graphs (2022) Knowledge Graph Embedding and Completion 62 Efficient and Effective Academic Expert Finding on Heterogeneous Graphs through (k, 𝒫)-Core based Embedding (2023) Knowledge Graph Embedding and Completion 62 Efficient and effective (k, P)-core-based community search over attributed heterogeneous information networks (2024) Knowledge Graph Embedding and Completion 62 Representation Learning of Knowledge Graphs with Multi-scale Capsule Network (2019) Knowledge Graph Embedding and Completion 62 A self-supervised method for learning path-augmented knowledge graph embedding (2025) Knowledge Graph Embedding and Completion 62 Temporal householder transformation embedding for temporal knowledge graph completion (2026) Knowledge Graph Embedding and Completion |
68 SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation (2025) Knowledge Graph Embedding and Completion 45 SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation (2026) Sequential and Session-based Recommendation 45 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation |
| Retrieval-Augmented Multimodal Model for Fake News Detection
sigir26-081 · China, United States
|
73 |
Jian Lang
73
61 REAL: Retrieval-Augmented Prototype Alignment for Improved Fake News Video Detection (2025) Multimodal Fake News Detection 61 Nip Rumors in the Bud: Retrieval-Guided Topic-Level Adaptation for Test-Time Fake News Video Detection (2026) Multimodal Fake News Detection 61 Enhancing fake news video detection with self-driven question-answer from LMMs (2026) Multimodal Fake News Detection Ruichao Yang
69
87 ExplainHM++: Explainable Harmful Meme Detection With Retrieval-Augmented Debate Between Large Multimodal Models (2026) Multimodal Fake News Detection 87 Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models (2024) Multimodal Fake News Detection 87 GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse (2026) Multimodal Fake News Detection 61 Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection (2024) Multimodal Fake News Detection 61 IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection (2025) Multimodal Fake News Detection 61 Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection (2025) Multimodal Fake News Detection |
61 Cross-document Misinformation Detection based on Event Graph Reasoning (2022) Multimodal Fake News Detection 61 InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection (2021) Multimodal Fake News Detection 52 MimeQA: Towards Socially-Intelligent Nonverbal Foundation Models (2025) Video and Temporal Understanding |
| Revisiting Collaborative Filtering by Unleashing the Power of Similarity
sigir26-082 · China
2/3
|
49 |
Riwei Lai
49
71 Multi-Faceted Global Item Relation Learning for Session-Based Recommendation (2022) Graph-Based Sequential and Session Recommendation 55 Matryoshka Representation Learning for Recommendation with Layer- and Hardness-Adaptive Negative Sampling (2026) Negative Sampling and Loss Functions 55 Augmented Negative Sampling for Collaborative Filtering (2023) Negative Sampling and Loss Functions Gyuseok Lee
39
48 Continual Collaborative Distillation for Recommender System (2024) Efficient and Lightweight Graph Collaborative Filtering 45 Capturing User Interests from Data Streams for Continual Sequential Recommendation (2026) Efficient Sequential Recommendation Architectures 24 Harmonic Dataset Distillation for Time Series Forecasting (2026) Others |
Xin Xin 0003 45
100 Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems (2021) Graph Neural Network Architectures for CF 54 How graph convolutions amplify popularity bias for recommendation? (2024) Popularity Bias and Debiasing in Recommendation 47 R2NS: Recall and Re-ranking of Negative Samples for Sequential Recommendation (2026) Sequential Recommendation with User Modeling and Profiling |
| Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
sigir26-083 · Singapore
|
74 |
Lianghao Xia
62
84 LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation (2023) Graph Contrastive and Self-Supervised Learning 84 Automated Self-Supervised Learning for Recommendation (2023) Graph Contrastive and Self-Supervised Learning 83 Self-Supervised Hypergraph Transformer for Recommender Systems (2022) Graph Contrastive and Self-Supervised Learning 62 Multi-view Semantic Contrastive Alignment for Multimodal Recommendation (2026) Universal Multimodal Embedding and MLLM Retrieval 59 Graph Diffusive Self-Supervised Learning for Social Recommendation (2024) Social and Group Recommendation 47 Disentangled Contrastive Bundle Recommendation with Conditional Diffusion (2025) Diffusion and Flow Recommenders Xubin Ren
55
70 LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation (2023) Graph Contrastive and Self-Supervised Learning 70 SSLRec: A Self-Supervised Learning Framework for Recommendation (2024) Graph Contrastive and Self-Supervised Learning 69 Disentangled Contrastive Collaborative Filtering (2023) Graph Contrastive and Self-Supervised Learning |
Leyu Lin 46
78 Contrastive Cross-domain Recommendation in Matching (2022) Graph Contrastive and Self-Supervised Learning 54 Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback (2024) Multimodal Denoising and Robustness 51 Multi-view Multi-behavior Contrastive Learning in Recommendation (2022) Graph Contrastive and Self-Supervised Learning |
| Same Frequency Begets Shared Interests: Popular-Niche Wavelet Graph Learning for Multimodal Recommendation
sigir26-084 · Australia, China
|
74 |
Yinwei Wei
74
100 Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation (2025) Graph Contrastive and Self-Supervised Learning 100 Multi-modal Bipartite Graph Structure Learning with Information Bottleneck for Micro-video Recommendation (2026) Graph Contrastive and Self-Supervised Learning 93 Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback (2020) Graph Contrastive and Self-Supervised Learning 70 Contrastive Self-supervised Learning in Recommender Systems: A Survey (2024) Graph Contrastive and Self-Supervised Learning 70 Review-Enhanced Hierarchical Contrastive Learning for Recommendation (2024) Graph Contrastive and Self-Supervised Learning 70 Rating-Review Graph Contrastive Learning for Review-based Recommendation (2023) Graph Contrastive and Self-Supervised Learning 84 Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering (2025) Graph Contrastive and Self-Supervised Learning 84 MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems (2025) Graph Contrastive and Self-Supervised Learning 69 Intent-Guided Heterogeneous Graph Contrastive Learning for Recommendation (2025) Graph Contrastive and Self-Supervised Learning |
Leyu Lin 46
78 Contrastive Cross-domain Recommendation in Matching (2022) Graph Contrastive and Self-Supervised Learning 54 Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback (2024) Multimodal Denoising and Robustness 51 Multi-view Multi-behavior Contrastive Learning in Recommendation (2022) Graph Contrastive and Self-Supervised Learning |
| Selective Constraint Learning for Unsupervised Cross-Domain Image Retrieval
sigir26-085 · China
|
50 |
Amir Ingber
44
60 Compressing Tabular Data via Pairwise Dependencies (2017) Others 59 Compression Schemes for Similarity Queries (2014) Efficient Retrieval and Indexing Systems › Others 59 Compression for Quadratic Similarity Queries (2015) Efficient Retrieval and Indexing Systems › Others Yong Li 0004
42
60 Consistency maintenance in real-time collaborative image editing systems (2003) Others 60 Group undo framework and algorithms in real-time collaborative image editing systems (2003) Others 60 PEACE: Towards Efficient Project-Level Efficiency Optimization via Hybrid Code Editing (2025) Others 61 Reviewerly: Modeling the Reviewer Assignment Task as an Information Retrieval Problem (2024) Information Retrieval and Ranking › Others 61 exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem (2025) Information Retrieval and Ranking › Others 60 RottenReviews: Benchmarking Review Quality with Human and LLM-Based Judgments (2025) Others |
Ge Li 0001 48
60 A unified multi-task learning model for AST-level and token-level code completion (2022) Others 60 Learning to Infer API Mappings from API Documents (2017) Others 60 Aligning LLMs to Fully Utilize the Cross-file Context in Repository-level Code Completion (2025) Others |
| SNBot: Modeling Self-Neighborhood Representation Discrepancy for Social Bot Detection
sigir26-086 · China, United States
2/3
|
37 |
Weizhou Shen
34
100 Directed Acyclic Graph Network for Conversational Emotion Recognition (2021) Social Media and User Modelling 100 Multi-Party Conversation Modeling for Emotion Recognition (2024) Social Media and User Modelling 100 DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition (2021) Social Media and User Modelling 100 Conditional Cross-Platform User Engagement Prediction (2024) Social Media and User Modelling 24 OpenSiteRec: An Open Dataset for Site Recommendation (2024) Recommendation Systems and Evaluation 20 Optimal Transport Enhanced Cross-City Site Recommendation (2024) Cross-Domain and Cross-Market Sequential Recommendation |
100 Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting (2023) Social Media and User Modelling 100 NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly (2023) Social Media and User Modelling 28 Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement (2025) Personalized Question Answering and RAG |
| Spectral-Adaptive Adversarial Hashing for Robust Image Retrieval
sigir26-087 · United States
|
100 |
Zheng Zhang 0006
100
100 Clustering-driven Deep Adversarial Hashing for scalable unsupervised cross-modal retrieval (2021) Cross-Modal Hashing and Quantization 100 Flexible Discrete Multi-view Hashing with Collective Latent Feature Learning (2020) Cross-Modal Hashing and Quantization 100 Inductive Structure Consistent Hashing via Flexible Semantic Calibration (2021) Cross-Modal Hashing and Quantization Meiyu Liang
77
100 Deep Unsupervised Momentum Contrastive Hashing for Cross-modal Retrieval (2023) Cross-Modal Hashing and Quantization 100 Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval (2025) Cross-Modal Hashing and Quantization 100 Asymmetric Pre-aligned Anchor Contrastive Enhanced Diffusion Hashing Model for Incomplete Multimodal Retrieval (2025) Cross-Modal Hashing and Quantization 100 Source-free Domain Adaptation with Multiple Alignment for Efficient Image Retrieval (2025) Cross-Modal Hashing and Quantization 100 Unified stable and generalizable online hashing for cross-modal retrieval (2026) Cross-Modal Hashing and Quantization 100 Noise-Robust Generative Hashing for Cross-Modal Retrieval (2026) Cross-Modal Hashing and Quantization |
Xiaoyi Zeng 31
41 Delving into E-Commerce Product Retrieval with Vision-Language Pre-training (2023) Universal Multimodal Embedding and MLLM Retrieval 39 COURIER: contrastive user intention reconstruction for large-scale visual recommendation (2025) Universal Multimodal Embedding and MLLM Retrieval 36 MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation (2026) Item Tokenization and Semantic IDs |
| SSR: Structured Subgraph Retrieval for Temporal Knowledge Graph Question Answering with LLMs
sigir26-088 · China
|
64 |
72 CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language Models (2026) Knowledge Graph Question Answering 70 Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering (2024) Automated Fact Checking and Claim Verification 70 CoLoTa: A Dataset for Entity-based Commonsense Reasoning over Long-Tail Knowledge (2025) Automated Fact Checking and Claim Verification Wenyu Huang
62
76 Prompting large language models with knowledge graphs for question answering involving long-tail facts (2025) KG-Augmented LLM Reasoning 72 Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context Permutation (2025) Multi-hop and Complex Reasoning QA 36 A Large-scale Offer Alignment Model for Partitioning Filtering and Matching Product Offers (2024) Entity Linking and Alignment Yu Gu 0016
60
100 Few-shot In-context Learning on Knowledge Base Question Answering (2023) Multi-hop and Complex Reasoning QA 88 ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering (2022) Knowledge Graph Question Answering 88 Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments (2023) Knowledge Graph Question Answering |
41 UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models (2024) Generative Retrieval 41 RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation (2025) Agentic and Deep Search RAG 40 Search-o1: Agentic Search-Enhanced Large Reasoning Models (2025) Agentic and Deep Search RAG |
| Struct-Align: Zero-Shot Text-to-3D Scene Retrieval via Locality-Aware Structural Alignment
sigir26-089 · China
2/3
|
71 |
100 PRVR: Partially Relevant Video Retrieval (2026) Video and Moment Retrieval 100 FeatInter: Exploring fine-grained object features for video-text retrieval (2022) Video and Moment Retrieval 100 Rethinking Video Sentence Grounding From a Tracking Perspective With Memory Network and Masked Attention (2024) Video and Moment Retrieval 100 Sequence-Event Semantic Consistent Learning for Text-to-Motion Retrieval (2025) Video and Moment Retrieval 100 Hierarchical Semantics Alignment for 3D Human Motion Retrieval (2024) Video and Moment Retrieval 100 Robust Video-Text Retrieval Via Noisy Pair Calibration (2023) Video and Moment Retrieval |
100 Video Corpus Moment Retrieval With Query-Specific Context Learning and Progressive Localization (2025) Video and Moment Retrieval 100 PRVR: Partially Relevant Video Retrieval (2026) Video and Moment Retrieval 100 Maskable Retentive Network for Video Moment Retrieval (2024) Video and Moment Retrieval |
| The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium
sigir26-090 · Canada, China, Netherlands, United States
2/3
|
70 |
70 Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study (2025) Fairness Metrics and Evaluation 70 Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier (2025) Fairness Metrics and Evaluation 70 Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance (2024) Fairness Metrics and Evaluation 70 Sampling Individually-Fair Rankings that are Always Group Fair (2023) Fairness Metrics and Evaluation 70 Optimizing Learning-to-Rank Models for Ex-Post Fair Relevance (2024) Fairness Metrics and Evaluation 70 On the Problem of Underranking in Group-Fair Ranking (2021) Fairness Metrics and Evaluation |
48 G-CoS: An Interpretable Gain-Cost Framework for User Satisfaction Estimation in Generative Information Retrieval (2026) User Behavior and Search Interaction 44 T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking (2023) Evaluation Resources and Tools 39 A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation (2022) Query Reformulation and Expansion |
| Time-Interval-Aware Disentangled Expert Modeling for Next-Basket Recommendation
sigir26-091 · China, United States
|
68 |
Bo Peng 0009
68
86 $\mathop {\mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation (2022) Sequential Recommendation with User Modeling and Profiling 86 M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation (2023) Efficient and Long-Sequence Sequential Recommendation 86 HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract) (2023) Sequential Recommendation with User Modeling and Profiling 86 Recurrent Recommendation with Local Coherence (2019) Sequential Recommendation with User Modeling and Profiling 86 A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists (2019) Efficient and Long-Sequence Sequential Recommendation 77 Sequential Recommendation for Cold-start Users with Meta Transitional Learning (2021) Sequential Recommendation with User Modeling and Profiling 100 Temporal Linear Item-Item Model for Sequential Recommendation (2025) Efficient and Long-Sequence Sequential Recommendation 86 MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation (2025) Sequential Recommendation with User Modeling and Profiling 68 Linear Item-Item Models with Neural Knowledge for Session-based Recommendation (2025) Efficient and Long-Sequence Sequential Recommendation |
Yanan Niu 55
70 TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou (2024) CTR and Conversion Rate Prediction 65 Disentangling Long and Short-Term Interests for Recommendation (2022) Contrastive and Self-Supervised Sequential Recommendation 62 Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation (2023) Multi-Behavior and Multi-Interest Sequential Recommendation |
| TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation
sigir26-092 · China
2/3
|
55 |
64 Multi-Modal Correction Network for Recommendation (2025) Multimodal Denoising and Robustness 47 Deep Dynamic Interest Learning With Session Local and Global Consistency for Click-Through Rate Predictions (2022) CTR and Conversion Rate Prediction 47 Deep Session Heterogeneity-Aware Network for Click Through Rate Prediction (2024) CTR and Conversion Rate Prediction 61 Attentive neural architecture incorporating song features for music recommendation (2018) Sequential Recommendation with Side and Multimodal Information 53 Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation (2018) Sequential Recommendation with User Modeling and Profiling 45 How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements (2020) Recommendation Systems and Evaluation |
Xin Xin 0003 46
60 Learning Robust Sequential Recommenders through Confident Soft Labels (2025) Sequential Recommendation with User Modeling and Profiling 57 Diversifying Sequential Recommendation with Retrospective and Prospective Transformers (2024) Multi-Task and Multi-Objective Optimization 54 R2NS: Recall and Re-ranking of Negative Samples for Sequential Recommendation (2026) Sequential Recommendation with User Modeling and Profiling |
| Towards Knowledgeable Deep Research: Framework and Benchmark
sigir26-093 · China, Singapore
|
59 |
73 WebWalker: Benchmarking LLMs in Web Traversal (2025) Agentic and Deep Search RAG 72 OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking (2025) Deep Research and Report Generation 71 WebDancer: Towards Autonomous Information Seeking Agency (2025) Deep Research and Report Generation 87 MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search (2026) Agentic and Deep Search RAG 73 To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention (2026) Agentic and Deep Search RAG 69 Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery (2026) Deep Research and Report Generation 87 MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search (2026) Agentic and Deep Search RAG 71 Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery (2026) Deep Research and Report Generation 60 To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention (2026) Agentic and Deep Search RAG |
87 Search-o1: Agentic Search-Enhanced Large Reasoning Models (2025) Agentic and Deep Search RAG 73 WebThinker: Empowering Large Reasoning Models with Deep Research Capability (2025) Agentic and Deep Search RAG 59 RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation (2025) Agentic and Deep Search RAG |
| Understanding and Modeling Heterogeneous Search Behavior
sigir26-094 · United States
2/3
|
81 |
Jiqun Liu
81
100 State-Aware Meta-Evaluation of Evaluation Metrics in Interactive Information Retrieval (2021) User Behavior and Search Interaction 100 Characterizing the Stages of Complex Tasks (2019) User Behavior and Search Interaction 100 Matching Search Result Diversity with User Diversity Acceptance in Web Search Sessions (2022) User Behavior and Search Interaction 100 Understanding user behavior in naturalistic information search tasks (2019) User Behavior and Search Interaction 100 Associating cognitive abilities with naturalistic search behavior (2025) User Behavior and Search Interaction 100 Naturalistic Digital Behavior Predicts Cognitive Abilities (2024) User Behavior and Search Interaction |
Ziyi Ye 45
100 Why Don't You Click: Understanding Non-Click Results in Web Search with Brain Signals (2022) User Behavior and Search Interaction 100 Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System (2022) User Behavior and Search Interaction 72 Web Search via an Efficient and Effective Brain-Machine Interface (2022) User Behavior and Search Interaction |
| Unified Entity Matching under Scarce Supervision via Meta-Rule Induction and Retrieval
sigir26-095 · China
|
64 |
Yuzhong Qu
64
100 Revisiting Embedding-Based Entity Alignment: A Robust and Adaptive Method (2023) Entity Linking and Alignment 100 Summarizing Entity Descriptions for Effective and Efficient Human-centered Entity Linking (2015) Entity Linking and Alignment 100 Automated Comparative Table Generation for Facilitating Human Intervention in Multi-Entity Resolution (2018) Entity Linking and Alignment 100 Probing Relative Interaction and Dynamic Calibration in Multi-modal Entity Alignment (2025) Entity Linking and Alignment 100 Exploring the Impacts of Feature Fusion Strategy in Multi-modal Entity Alignment (2025) Entity Linking and Alignment 100 Breaking the Noise Barrier: LLM-Guided Semantic Filtering and Enhancement for Multi-Modal Entity Alignment (2025) Entity Linking and Alignment 100 Probing Relative Interaction and Dynamic Calibration in Multi-modal Entity Alignment (2025) Entity Linking and Alignment 100 Exploring the Impacts of Feature Fusion Strategy in Multi-modal Entity Alignment (2025) Entity Linking and Alignment 100 Breaking the Noise Barrier: LLM-Guided Semantic Filtering and Enhancement for Multi-Modal Entity Alignment (2025) Entity Linking and Alignment |
66 Word-Entity Duet Representations for Document Ranking (2017) Entity Linking and Alignment 63 EsdRank: Connecting Query and Documents through External Semi-Structured Data (2015) Entity Linking and Alignment 33 Few-Shot Conversational Dense Retrieval (2021) Conversational Search and Retrieval |
| Unsupervised 2D Image-Based 3D Model Retrieval via Decision Boundary Alignment and Graph Semantic Propagation
sigir26-096 · China, Portugal
2/3
|
71 |
100 Dual Encoding for Zero-Example Video Retrieval (2019) Video and Moment Retrieval 100 Video Moment Retrieval With Cross-Modal Neural Architecture Search (2022) Video and Moment Retrieval 100 FeatInter: Exploring fine-grained object features for video-text retrieval (2022) Video and Moment Retrieval Zhe Xu 0009
46
100 Point-Supervised Video Temporal Grounding (2023) Video and Moment Retrieval 100 Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization (2024) Video and Moment Retrieval 100 HiSA: Hierarchically Semantic Associating for Video Temporal Grounding (2022) Video and Moment Retrieval |
100 Video Moment Retrieval With Cross-Modal Neural Architecture Search (2022) Video and Moment Retrieval 100 Video Corpus Moment Retrieval With Query-Specific Context Learning and Progressive Localization (2025) Video and Moment Retrieval 100 PRVR: Partially Relevant Video Retrieval (2026) Video and Moment Retrieval |
| Verbalizing LightGCN: Direct Learning of Textual Representations from User-Item Interaction Graph via LLMs
sigir26-097 · Singapore
|
53 |
Huifeng Guo
52
60 Prompt Tuning as User Inherent Profile Inference Machine (2025) Efficiency and Deployment 56 Compressed Interaction Graph based Framework for Multi-behavior Recommendation (2023) Sequential and Session-Based Graph Recommendation 56 SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems (2025) LLM-Derived Knowledge Infusion 56 DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation (2023) Graph-based User and Item Representation Learning 55 Collaborative Alignment for Recommendation (2024) Graph Contrastive and Self-Supervised Learning 53 Unified Pretraining for Recommendation via Task Hypergraphs (2024) Graph Neural Network Architectures for CF 54 When large language models meet personalization: perspectives of challenges and opportunities (2024) User Profile and Persona Modeling 48 Cooperative Retriever and Ranker in Deep Recommenders (2023) Recommendation with Search and Ranking 48 Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation (2024) Recommendation Systems and Evaluation |
Pengyue Jia 49
62 Prompt Tuning as User Inherent Profile Inference Machine (2025) Efficiency and Deployment 60 Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends (2025) Efficiency and Deployment 56 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation |
| Verifiable Reasoning for LLM-based Generative Recommendation
sigir26-098 · Singapore, United States
|
67 |
Xuanhua Yang
60
84 Breaking the Relevance-Diversity Seesaw: Hierarchical LLM Reasoning with RL for Industrial Novelty Recommendation (2026) Preference Alignment and Optimization 75 GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation (2026) Generative Retrieval and Ranking 61 Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding (2022) Diffusion and Flow Recommenders Jieming Zhu
58
74 EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration (2025) Generative Recommendation and Item Tokenization 64 EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration (2024) Item Tokenization and Semantic IDs 61 Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation (2025) Efficiency and Deployment Qijiong Liu
55
69 RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation (2025) Generative Retrieval and Recommendation Architectures 61 Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation (2025) Efficiency and Deployment 61 Accelerating Generative Recommendation via Simple Categorical User Sequence Compression (2026) Generative Retrieval and Recommendation Architectures |
Kun Gai 51
64 Making Transformer Decoders Better Differentiable Indexers (2025) Recommendation with Search and Ranking 63 Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model (2025) Sequential and Session-based Recommendation 60 Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce (2026) Recommendation with Search and Ranking |
| Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation
sigir26-099 · China, United States
2/3
|
41 |
100 Multi-Modal Correction Network for Recommendation (2025) Multimodal Denoising and Robustness 33 Deep Dynamic Interest Learning With Session Local and Global Consistency for Click-Through Rate Predictions (2022) CTR and Conversion Rate Prediction 33 Deep Session Heterogeneity-Aware Network for Click Through Rate Prediction (2024) CTR and Conversion Rate Prediction 49 Flip is Better than Noise: Unbiased Interest Generation for Multimedia Recommendation (2025) Diffusion and Flow Recommenders 48 SOIL: Contrastive Second-Order Interest Learning for Multimodal Recommendation (2024) Graph Contrastive and Self-Supervised Learning 39 Task-Adversarial Adaptation for Multi-modal Recommendation (2023) Domain Adaptation and Disentangled Representation for CDR |
71 Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation (2023) Multimodal Generative Recommendation 39 Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation (2022) Domain Adaptation and Disentangled Representation for CDR 37 Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation (2026) Content-Based Transferable Recommendation |
| When and How to Ask: Dynamic Preference Elicitation Strategies for Conversational Recommendation
sigir26-100 · United Kingdom
2/3
|
52 |
85 Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning (2024) Conversational Recommendation Systems 78 RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation (2021) Conversational Recommendation Systems 60 Agentic Feedback Loop Modeling Improves Recommendation and User Simulation (2025) User Profile and Persona Modeling 72 What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation (2020) Conversational Recommendation Systems 49 Contextualizing Spotify's Audiobook List Recommendations with Descriptive Shelves (2025) Recommendation Systems and Evaluation 47 Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge (2025) Recommendation Systems and Evaluation |
Kam-Fai Wong 47
100 Improving Conversational Recommender System Via Contextual and Time-Aware Modeling With Less Domain-Specific Knowledge (2024) Conversational and Interactive Recommendation 87 Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models (2025) Conversational Recommendation Systems 46 MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents (2026) Personalized and Conversational RAG |
| Adaptive Sparsity Optimization with Learnable Soft Top-K and Per-Term Thresholding for Efficient Retrieval
sigir26-101 · United States
|
90 |
100 Effective Inference-Free Retrieval for Learned Sparse Representations (2025) Learned Sparse Retrieval Efficiency 100 Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations (2024) Learned Sparse Retrieval Efficiency 100 Pairing Clustered Inverted Indexes with κ-NN Graphs for Fast Approximate Retrieval over Learned Sparse Representations (2024) Learned Sparse Retrieval Efficiency 100 Forward Index Compression for Learned Sparse Retrieval (2026) Learned Sparse Retrieval Efficiency 86 Bridging Dense and Sparse Maximum Inner Product Search (2024) Efficient Retrieval and Indexing 76 Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations (2024) Learned Sparse Retrieval Efficiency Jingtao Zhan
57
100 Joint Optimization of Multi-vector Representation with Product Quantization (2022) Learned Sparse Retrieval Efficiency 72 Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance (2021) Approximate Nearest Neighbor Search 72 Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract) (2023) Approximate Nearest Neighbor Search |
50 Unsupervised Dense Retrieval Training with Web Anchors (2023) Sparse and Dense Retrieval Encoders 48 COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning (2022) Sparse and Dense Retrieval Encoders 45 Aligning Web Query Generation with Ranking Objectives via Direct Preference Optimization (2025) Query Reformulation and Expansion |
| Advantage-Conditioned Flow Policy for Offline Reinforcement Learning in Recommendation
sigir26-102 · Australia
|
59 |
88 Modeling User Retention through Generative Flow Networks (2024) Diffusion and Flow Recommenders 74 Exploration and Regularization of the Latent Action Space in Recommendation (2023) Offline RL for Recommendation 69 Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation (2025) Diffusion and Flow Recommenders Yuta Saito
47
51 Off-Policy Evaluation of Ranking Policies under Diverse User Behavior (2023) Recommendation with Search and Ranking 49 Evaluating the Robustness of Off-Policy Evaluation (2021) Recommendation Systems and Evaluation 49 Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback (2020) Popularity Bias and Debiasing in Recommendation Ziru Liu
47
69 Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation (2024) Diffusion and Flow Recommenders 60 Modeling User Retention through Generative Flow Networks (2024) Multi-Behavior Recommendation 60 Multi-Task Recommendations with Reinforcement Learning (2023) Offline RL for Recommendation |
Leyu Lin 48
74 Hierarchical Reinforcement Learning for Integrated Recommendation (2021) Offline RL for Recommendation 63 Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation (2021) Offline RL for Recommendation 49 CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation (2023) Contrastive and Self-Supervised Sequential Recommendation |
| Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests
sigir26-103 · Portugal, United States
2/3
|
68 |
69 A Comparative Analysis of Linguistic and Retrieval Diversity in LLM-Generated Search Queries (2025) User Behavior and Search Interaction 64 What do Users Really Ask Large Language Models? An Initial Log Analysis of Google Bard Interactions in the Wild (2024) User Behavior and Search Interaction 64 From Lab to Reality: An Eye-tracking Study of How Users are Influenced to Search in the Era of GenAI (2026) User Behavior and Search Interaction 64 Evaluating the Robustness of Click Models to Policy Distributional Shift (2023) User Behavior and Search Interaction 64 An Offline Metric for the Debiasedness of Click Models (2023) User Behavior and Search Interaction 34 SARDINE: Simulator for Automated Recommendation in Dynamic and Interactive Environments (2024) Recommendation Systems and Evaluation |
Ziyi Ye 54
69 EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation (2024) User Behavior and Search Interaction 69 Query Augmentation with Brain Signals (2024) User Behavior and Search Interaction 68 Comparing point-wise and pair-wise relevance judgment with brain signals (2024) User Behavior and Search Interaction |
| ARHN: Answer-Centric Relabeling of Hard Negatives with Open-Source LLMs for Dense Retrieval
sigir26-104 · South Korea
|
62 |
69 A Regularized Competition Model for Question Difficulty Estimation in Community Question Answering Services (2014) Retrieval-Augmented and Open-Domain QA 64 Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation (2025) Knowledge Conflict and Faithfulness 59 Question Difficulty Estimation in Community Question Answering Services (2013) Social Media and User Modelling 58 R2LLMs: Retrieval and Ranking with LLMs (2025) Reasoning-Intensive Retrieval and Ranking 56 Where Relevance Emerges: A Layer-Wise Study of Internal Attention for Zero-Shot Re-Ranking (2026) LLM-Based Reranking 56 A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models (2024) LLM-Based Reranking 74 Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation (2021) Dense Bi-Encoder Training and Representation Learning 69 A dataset and baselines for sequential open-domain question answering (2018) Retrieval-Augmented and Open-Domain QA 63 Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval (2021) Multi-hop and Complex Reasoning QA |
47 Selective Weak Supervision for Neural Information Retrieval (2020) Zero-Shot and Domain Generalization for Retrieval 46 Aligning Web Query Generation with Ranking Objectives via Direct Preference Optimization (2025) Query Reformulation and Expansion 46 Few-Shot Conversational Dense Retrieval (2021) Conversational Search and Retrieval |
| AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation
sigir26-105 · China
|
59 |
Yongjing Hao
55
77 Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation (2023) Sequential and Session-Based Graph Recommendation 77 Multi-dimensional Graph Neural Network for Sequential Recommendation (2023) Sequential and Session-Based Graph Recommendation 73 Learnable Model Augmentation Contrastive Learning for Sequential Recommendation (2024) Contrastive and Self-Supervised Sequential Recommendation Hyunsik Yoo
50
54 Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation (2026) Multi-Behavior and Multi-Interest Sequential Recommendation 53 Capturing User Interests from Data Streams for Continual Sequential Recommendation (2026) Efficient and Long-Sequence Sequential Recommendation 53 Generalizable Recommender System During Temporal Popularity Distribution Shifts (2025) Robustness to Noise and Distribution Shift Lingling Yi
47
73 Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation (2025) Sequential and Session-Based Graph Recommendation 65 Item-Provider Co-learning for Sequential Recommendation (2022) Graph Contrastive and Self-Supervised Learning 48 PRECISE: Pre-training and Fine-tuning Sequential Recommenders with Collaborative and Semantic Information (2025) Sequential and Session-based Recommendation |
Yanan Niu 57
77 Sequential Recommendation with Graph Neural Networks (2021) Sequential and Session-Based Graph Recommendation 75 When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation (2022) Sequential and Session-Based Graph Recommendation 58 Disentangling Long and Short-Term Interests for Recommendation (2022) Contrastive and Self-Supervised Sequential Recommendation |
| Beyond Dense Connectivity: Explicit Sparsity for Scalable Recommendation
sigir26-106 · China
|
68 |
75 Deep Dynamic Interest Learning With Session Local and Global Consistency for Click-Through Rate Predictions (2022) CTR and Conversion Rate Prediction 75 Deep Session Heterogeneity-Aware Network for Click Through Rate Prediction (2024) CTR and Conversion Rate Prediction 74 Graph-aware collaborative reasoning for click-through rate prediction (2023) CTR and Conversion Rate Prediction Wei Guo 0006
55
72 Breaking the Bottleneck: User-Specific Optimization and Real-Time Inference Integration for Sequential Recommendation (2025) Efficient and Long-Sequence Sequential Recommendation 71 FuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism (2026) Efficient Sequential Recommendation Architectures 67 Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models (2021) CTR and Conversion Rate Prediction 84 Long-Sequence Recommendation Models Need Decoupled Embeddings (2025) CTR and Conversion Rate Prediction 67 Deep Pattern Network for Click-Through Rate Prediction (2024) CTR and Conversion Rate Prediction 67 AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling (2022) CTR and Conversion Rate Prediction |
Kun Gai 47
80 TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou (2024) CTR and Conversion Rate Prediction 72 MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever (2025) CTR and Conversion Rate Prediction 47 Making Transformer Decoders Better Differentiable Indexers (2025) Recommendation with Search and Ranking |
| Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation
sigir26-107 · China, United States
|
57 |
60 Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models (2025) Robustness and Adversarial IR 60 Robust Neural Information Retrieval: An Adversarial and Out-of-Distribution Perspective (2026) Robustness and Adversarial IR 60 Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models (2023) Robustness and Adversarial IR 58 Grounding Language Model with Chunking-Free In-Context Retrieval (2024) Generative Retrieval 58 CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks (2024) Generative Retrieval 55 Robust Fine-tuning for Retrieval Augmented Generation against Retrieval Defects (2025) Knowledge Conflict and Faithfulness Andrew Parry
44
60 Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models (2024) Robustness and Adversarial IR 60 Axiomatic Guidance for Efficient and Controlled Neural Search (2024) Robustness and Adversarial IR 58 Constructing and Evaluating Declarative RAG Pipelines in PyTerrier (2025) Retrieval Toolkits and Reproducibility |
58 RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation (2025) Generative Retrieval 58 CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks (2024) Generative Retrieval 55 Search-o1: Agentic Search-Enhanced Large Reasoning Models (2025) Agentic and Deep Search RAG |
| Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation
sigir26-108 · China, Singapore, United States
|
61 |
77 MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation (2026) Item Tokenization and Semantic IDs 76 REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems (2026) Item Tokenization and Semantic IDs 62 RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation (2026) Generative Retrieval and Ranking Yupeng Hou
61
89 Generating Long Semantic IDs in Parallel for Recommendation (2025) Item Tokenization and Semantic IDs 88 Towards Large Generative Recommendation: A Tokenization Perspective (2025) Item Tokenization and Semantic IDs 87 Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders (2023) Item Tokenization and Semantic IDs Qijiong Liu
57
88 CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation (2024) Item Tokenization and Semantic IDs 88 Learning Multi-aspect Item Palette: A Semantic Tokenization Framework for Generative Recommendation (2026) Item Tokenization and Semantic IDs 63 Full Retraining, Incremental Fine-tuning, and Hybrid Serving: Model Updating and Serving for Industrial Generative Recommender Systems (2026) Generative Retrieval and Ranking |
Xiaoyi Zeng 53
89 MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation (2026) Item Tokenization and Semantic IDs 86 HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation (2025) Item Tokenization and Semantic IDs 76 REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems (2026) Item Tokenization and Semantic IDs |
| Chunk-Wise Quantization for Graph Collaborative Filtering
sigir26-109 · Australia, China
2/3
|
70 |
Xurong Liang
70
100 Lightweight Embeddings with Graph Rewiring for Collaborative Filtering (2025) Graph-based User and Item Representation Learning 100 Lightweight Embeddings for Graph Collaborative Filtering (2024) Graph-based User and Item Representation Learning 68 Erratum: Lightweight Embeddings with Graph Rewiring for Collaborative Filtering (2026) Recommender Systems › Others Jianghong Ma
44
100 Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation (2023) Graph-based User and Item Representation Learning 65 Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure (2026) Graph-based User and Item Representation Learning 63 ExpGCN: Review-aware Graph Convolution Network for explainable recommendation (2023) Graph-based User and Item Representation Learning |
100 Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation (2022) Graph-based User and Item Representation Learning 69 Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering (2025) Embedding Compression and Quantization 53 Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing (2024) Efficient Retrieval and Indexing Systems › Others |
| Consensus-Anchored Expansion for Noise-Resilient Re-ranking
sigir26-110 · United States
|
58 |
69 Effective Contrastive Weighting for Dense Query Expansion (2023) Query Reformulation and Expansion 69 Neural Pseudo-Relevance Feedback Models for Sparse and Dense Retrieval (2022) Query Reformulation and Expansion 69 ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval (2023) Query Reformulation and Expansion 73 TILDE: Term Independent Likelihood moDEl for Passage Re-ranking (2021) Efficient Retrieval and Indexing 70 To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers (2022) Query Reformulation and Expansion 69 Revisiting Document Expansion and Filtering for Effective First-Stage Retrieval (2024) Query Reformulation and Expansion 68 Extractive Explanations for Interpretable Text Ranking (2023) Cross-Encoder and Neural Reranking 66 Understanding the User: An Intent-Based Ranking Dataset (2024) Query Reformulation and Expansion 48 Data Augmentation for Sample Efficient and Robust Document Ranking (2024) Ranking Distillation and Adaptation |
75 Aligning Web Query Generation with Ranking Objectives via Direct Preference Optimization (2025) Query Reformulation and Expansion 68 Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion (2024) Cross-Encoder and Neural Reranking 68 Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback (2021) Query Reformulation and Expansion |
| Coupling Global Context with Kinematic Evolution for Sequential Recommendation
sigir26-111 · China
|
64 |
Fei Sun 0001
64
80 Contrastive Learning for Sequential Recommendation (2022) Contrastive and Self-Supervised Sequential Recommendation 80 XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender System (2022) Sequential Recommendation with User Modeling and Profiling 78 SDM: Sequential Deep Matching Model for Online Large-scale Recommender System (2019) Multi-Behavior and Multi-Interest Sequential Recommendation Lantao Hu
56
100 Modeling User Fatigue for Sequential Recommendation (2024) Contrastive and Self-Supervised Sequential Recommendation 72 MODEM: Decoupling User Behavior for Shared-Account Video Recommendations on Large Screen Devices (2024) Graph Contrastive and Self-Supervised Learning 68 Soft Contrastive Sequential Recommendation (2024) Contrastive and Self-Supervised Sequential Recommendation 80 Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation (2018) Sequential Recommendation with User Modeling and Profiling 58 ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation (2025) Item Tokenization and Semantic IDs 54 Attentive neural architecture incorporating song features for music recommendation (2018) Sequential Recommendation with Side and Multimodal Information |
Xin Xin 0003 57
77 Learning Robust Sequential Recommenders through Confident Soft Labels (2025) Sequential Recommendation with User Modeling and Profiling 75 R2NS: Recall and Re-ranking of Negative Samples for Sequential Recommendation (2026) Sequential Recommendation with User Modeling and Profiling 73 A Self-Correcting Sequential Recommender (2023) Contrastive and Self-Supervised Sequential Recommendation |
| Debiased Recommendation Beyond the Positive Propensity Assumption
sigir26-112 · China, United States
|
69 |
83 Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias (2024) Popularity Bias and Debiasing in Recommendation 83 Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias (2026) Popularity Bias and Debiasing in Recommendation 75 Improving Long-tail User CTR Prediction via Hierarchical Distribution Alignment (2025) Bias Mitigation Methods 85 Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning (2024) Popularity Bias and Debiasing in Recommendation 85 Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias (2026) Popularity Bias and Debiasing in Recommendation 83 Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias (2024) Popularity Bias and Debiasing in Recommendation Zechun Niu
56
70 Distributionally Robust Optimization for Unbiased Learning to Rank (2025) Unbiased Learning to Rank 56 Addressing Personalized Bias for Unbiased Learning to Rank (2025) Unbiased Learning to Rank 38 Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study (2025) Unbiased Learning to Rank |
Xin Xin 0003 49
83 How graph convolutions amplify popularity bias for recommendation? (2024) Popularity Bias and Debiasing in Recommendation 73 Learning Robust Recommenders through Cross-Model Agreement (2022) Popularity Bias and Debiasing in Recommendation 47 Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure (2025) Contrastive and Self-Supervised Sequential Recommendation |
| Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos
sigir26-113 · China, Singapore
|
74 |
Ruichao Yang
74
84 ExplainHM++: Explainable Harmful Meme Detection With Retrieval-Augmented Debate Between Large Multimodal Models (2026) Multimodal Fake News Detection 84 Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models (2024) Multimodal Fake News Detection 84 GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse (2026) Multimodal Fake News Detection Jian Lang
66
64 Biting Off More Than You Can Detect: Retrieval-Augmented Multimodal Experts for Short Video Hate Detection (2025) Multimodal Fake News Detection 64 REAL: Retrieval-Augmented Prototype Alignment for Improved Fake News Video Detection (2025) Multimodal Fake News Detection 64 Enhancing fake news video detection with self-driven question-answer from LMMs (2026) Multimodal Fake News Detection 64 From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild (2026) Multimodal Fake News Detection 64 Understand, Refine and Summarize: Multi-View Knowledge Progressive Enhancement Learning for Fake News Video Detection (2025) Multimodal Fake News Detection 64 Mitigating World Biases: A Multimodal Multi-View Debiasing Framework for Fake News Video Detection (2024) Multimodal Fake News Detection |
64 MimeQA: Towards Socially-Intelligent Nonverbal Foundation Models (2025) Video and Temporal Understanding 64 InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection (2021) Multimodal Fake News Detection 64 Cross-document Misinformation Detection based on Event Graph Reasoning (2022) Multimodal Fake News Detection |
| Demand-Calibrated Facet Diversification with Deployable Soft Quotas for E-Commerce Search
sigir26-114 · United States
|
78 |
86 The Effects of Vertical Rank and Border on Aggregated Search Coherence and Search Behavior (2014) User Behavior and Search Interaction 86 The effect of aggregated search coherence on search behavior (2012) User Behavior and Search Interaction 71 The effects of goal-setting on learning during information seeking with generative AI (2026) User Behavior and Search Interaction 86 Time-based calibration of effectiveness measures (2012) User Behavior and Search Interaction 86 Evaluating Streams of Evolving News Events (2015) User Behavior and Search Interaction 86 IR Evaluation: Modeling User Behavior for Measuring Effectiveness (2015) User Behavior and Search Interaction Xuanhui Wang
51
70 Revisiting Two-tower Models for Unbiased Learning to Rank (2022) User Behavior and Search Interaction 70 Learning with Sparse and Biased Feedback for Personal Search (2018) User Behavior and Search Interaction 67 Cross-Positional Attention for Debiasing Clicks (2021) User Behavior and Search Interaction |
Ziyi Ye 55
86 Comparing point-wise and pair-wise relevance judgment with brain signals (2024) User Behavior and Search Interaction 75 Query Augmentation with Brain Signals (2024) User Behavior and Search Interaction 72 EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation (2024) User Behavior and Search Interaction |
| Denoise and Align: Diffusion-Driven Foreground Knowledge Prompting for Open-Vocabulary Temporal Action Detection
sigir26-115 · China
2/3
|
80 |
Linchao Zhu
80
69 ActBERT: Learning Global-Local Video-Text Representations (2020) Video and Moment Retrieval 69 Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding (2023) Video and Moment Retrieval 69 Stitching Segments and Sentences towards Generalization in Video-Text Pre-training (2024) Video and Moment Retrieval 69 Learning Semantics-Grounded Vocabulary Representation for Video-Text Retrieval (2023) Video and Moment Retrieval 69 Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval (2024) Video and Moment Retrieval 59 mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models (2025) Video and Temporal Understanding |
Xiaoye Qu 57
69 Temporal Sentence Grounding with Relevance Feedback in Videos (2024) Video and Moment Retrieval 69 Rethinking Video Sentence Grounding From a Tracking Perspective With Memory Network and Masked Attention (2024) Video and Moment Retrieval 69 Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval (2023) Video and Moment Retrieval |
| Diagnosing Identifiability in Two-Tower Models for Unbiased Learning to Rank
sigir26-116 · Netherlands
2/3
|
68 |
Zechun Niu
62
64 Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study (2025) Unbiased Learning to Rank 62 Addressing Personalized Bias for Unbiased Learning to Rank (2025) Unbiased Learning to Rank 61 Distributionally Robust Optimization for Unbiased Learning to Rank (2025) Unbiased Learning to Rank Xuanhui Wang
56
100 Revisiting Two-tower Models for Unbiased Learning to Rank (2022) User Behavior and Search Interaction 100 Learning with Sparse and Biased Feedback for Personal Search (2018) User Behavior and Search Interaction 78 Towards Disentangling Relevance and Bias in Unbiased Learning to Rank (2023) User Behavior and Search Interaction |
Ziyi Ye 51
70 EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation (2024) User Behavior and Search Interaction 69 Comparing point-wise and pair-wise relevance judgment with brain signals (2024) User Behavior and Search Interaction 68 Query Augmentation with Brain Signals (2024) User Behavior and Search Interaction |
| Differentiable Semantic ID for Generative Recommendation
sigir26-117 · China, Netherlands, Spain, United Kingdom, United States
|
59 |
77 MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation (2026) Item Tokenization and Semantic IDs 73 HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation (2025) Item Tokenization and Semantic IDs 69 REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems (2026) Item Tokenization and Semantic IDs Jieming Zhu
57
100 CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation (2024) Item Tokenization and Semantic IDs 100 UNGER: Generative Recommendation with A Unified Code via Semantic and Collaborative Integration (2026) Item Tokenization and Semantic IDs 100 Learning Multi-aspect Item Palette: A Semantic Tokenization Framework for Generative Recommendation (2026) Item Tokenization and Semantic IDs Lichan Hong
50
100 Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations (2024) Item Tokenization and Semantic IDs 77 Recommender Systems with Generative Retrieval (2023) Item Tokenization and Semantic IDs 62 PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations (2026) Generative Recommendation and Item Tokenization |
Xiaoyi Zeng 50
88 MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation (2026) Item Tokenization and Semantic IDs 85 HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation (2025) Item Tokenization and Semantic IDs 69 REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems (2026) Item Tokenization and Semantic IDs |
| DIGEST: Dynamic Graph Refinement with Dual Contrastive Semantic Transfer for Multimodal Recommendation
sigir26-118 · China, Spain, United States
|
74 |
Yinwei Wei
74
100 Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation (2025) Graph Contrastive and Self-Supervised Learning 100 Multi-modal Bipartite Graph Structure Learning with Information Bottleneck for Micro-video Recommendation (2026) Graph Contrastive and Self-Supervised Learning 93 Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback (2020) Graph Contrastive and Self-Supervised Learning 62 Multi-view Semantic Contrastive Alignment for Multimodal Recommendation (2026) Universal Multimodal Embedding and MLLM Retrieval 59 Graph Diffusive Self-Supervised Learning for Social Recommendation (2024) Social and Group Recommendation 47 Disentangled Contrastive Bundle Recommendation with Conditional Diffusion (2025) Diffusion and Flow Recommenders 84 MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems (2025) Graph Contrastive and Self-Supervised Learning 84 Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering (2025) Graph Contrastive and Self-Supervised Learning 69 Intent-Guided Heterogeneous Graph Contrastive Learning for Recommendation (2025) Graph Contrastive and Self-Supervised Learning |
Leyu Lin 46
78 Contrastive Cross-domain Recommendation in Matching (2022) Graph Contrastive and Self-Supervised Learning 54 Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback (2024) Multimodal Denoising and Robustness 51 Multi-view Multi-behavior Contrastive Learning in Recommendation (2022) Graph Contrastive and Self-Supervised Learning |
| DLLM-Searcher: Adapting Diffusion Language Model for Efficient Search Agents
sigir26-119 · China, United States
|
56 |
51 Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs (2025) Reward Modeling and Process Supervision 51 Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs (2024) Reward Modeling and Process Supervision 47 C-SEO Bench: Does Conversational SEO Work? (2025) Reasoning Evaluation and Benchmarks 54 MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning (2025) Reward Modeling and Process Supervision 52 ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness (2023) Reasoning Evaluation and Benchmarks 51 LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits (2025) Reward Modeling and Process Supervision Yong Li 0004
42
56 PG-Agent: An Agent Powered by Page Graph (2025) Multi-Agent and Tool-Use Orchestration 52 ProBench: Benchmarking GUI Agents with Accurate Process Information (2026) Reasoning Evaluation and Benchmarks 51 RFS-Guard: Detecting Reasoning Hallucinations via Cross-Phase Routing Focus in Large Reasoning Models (2026) Reward Modeling and Process Supervision |
Hongjin Qian 52
57 Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging (2025) Agentic and Deep Search RAG 55 WebThinker: Empowering Large Reasoning Models with Deep Research Capability (2025) Deep Research and Report Generation 38 RetroLM: Retrieval-Augmented KVs for Long-Context Processing (2026) Efficient and Long-Context RAG |
| DocQAC: Adaptive Trie-Guided Decoding for Effective In-Document Query Auto-Completion
sigir26-120 · India, United States
2/3
|
55 |
68 Enhanced Retrieval Effectiveness through Selective Query Generation (2024) Query Reformulation and Expansion 68 ReFormeR: Learning and Applying Explicit Query Reformulation Patterns (2026) Query Reformulation and Expansion 65 Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation (2021) Query Reformulation and Expansion Daiting Shi
47
68 Population-Guided Intent-Aware Query Rewriting for Web Search (2026) Query Reformulation and Expansion 66 Accurate and Efficient Personalized Query Rewriting in Baidu Search (2026) Query Reformulation and Expansion 51 RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search (2026) Information Retrieval and Ranking › Others |
Xiaoxue Zang 48
72 LargePiG for Hallucination-Free Query Generation: Your Large Language Model is Secretly a Pointer Generator (2025) Query Reformulation and Expansion 68 Trigger3: Refining Query Correction via Adaptive Model Selector (2025) Query Reformulation and Expansion 59 QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors (2026) Evidence Selection and Context Refinement |
| Drift-Aware Incremental Token Adaptation with Collaborative Semantics for Generative Recommendation
sigir26-121 · China, United States
|
61 |
70 Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models (2024) Generative Recommendation and Item Tokenization 70 IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation (2025) Generative Recommendation and Item Tokenization 70 A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems (2025) Generative Recommendation and Item Tokenization Yupeng Hou
58
77 ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation (2025) Item Tokenization and Semantic IDs 72 Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders (2023) Item Tokenization and Semantic IDs 71 Towards Large Generative Recommendation: A Tokenization Perspective (2025) Item Tokenization and Semantic IDs Ed H. Chi
52
89 PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations (2026) Item Tokenization and Semantic IDs 76 Recommender Systems with Generative Retrieval (2023) Item Tokenization and Semantic IDs 71 Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations (2024) Item Tokenization and Semantic IDs |
Xiaoyi Zeng 48
73 MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation (2026) Item Tokenization and Semantic IDs 72 HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation (2025) Item Tokenization and Semantic IDs 65 REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems (2026) Item Tokenization and Semantic IDs |
| Dynamic Memory Forest: Constructing and Tracing Conversational Trajectories for Long-Term Conversation
sigir26-122 · China
2/3
|
58 |
100 DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation (2020) Conversational Search and Retrieval 68 Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems (2021) Conversational Search and Retrieval 50 Towards Explainable Conversational Recommender Systems (2023) Conversational Recommendation Systems Corby Rosset
41
79 Zero-shot Clarifying Question Generation for Conversational Search (2023) Conversational and Session Search 73 Contextual Re-Ranking with Behavior Aware Transformers (2020) Conversational Search and Retrieval 43 Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention (2020) Multi-Hop and Iterative Retrieval Reasoning |
Hongjin Qian 52
100 A Survey of Conversational Search (2025) Conversational Search and Retrieval 76 Explicit Query Rewriting for Conversational Dense Retrieval (2022) Conversational Search and Retrieval 76 Learning Denoised and Interpretable Session Representation for Conversational Search (2023) Conversational Search and Retrieval |
| Equity vs. Equality: Optimizing Ranking Fairness for Tailored Provider Needs
sigir26-123 · China, United States
|
70 |
70 Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study (2025) Fairness Metrics and Evaluation 70 Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance (2024) Fairness Metrics and Evaluation 70 Relevance-aware Individual Item Fairness Measures for Recommender Systems: Limitations and Usage Guidelines (2026) Fairness Metrics and Evaluation 70 Sampling Individually-Fair Rankings that are Always Group Fair (2023) Fairness Metrics and Evaluation 70 Optimizing Learning-to-Rank Models for Ex-Post Fair Relevance (2024) Fairness Metrics and Evaluation 70 On the Problem of Underranking in Group-Fair Ranking (2021) Fairness Metrics and Evaluation 100 Measuring Bias in a Ranked List Using Term-Based Representations (2024) Evaluation Metrics and User Models 100 Efficiently Estimating Retrievability Bias (2014) Evaluation Metrics and User Models 74 Retrievability Bias Estimation Using Synthetically Generated Queries (2023) Test Collection Construction and Pooling |
70 Offline Retrieval Evaluation Without Evaluation Metrics (2022) Evaluation Metrics and User Models 70 Diversification as Risk Minimization (2026) Evaluation Metrics and User Models 42 Regularizing query-based retrieval scores (2007) Query Reformulation and Expansion |
| ExDR: Explanation-driven Dynamic Retrieval Enhancement for Multimodal Fake News Detection
sigir26-124 · China
|
68 |
Ruichao Yang
68
64 Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models (2024) Multimodal Fake News Detection 64 ExplainHM++: Explainable Harmful Meme Detection With Retrieval-Augmented Debate Between Large Multimodal Models (2026) Multimodal Fake News Detection 64 GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse (2026) Multimodal Fake News Detection 57 Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection (2024) Multimodal Fake News Detection 57 Understand, Refine and Summarize: Multi-View Knowledge Progressive Enhancement Learning for Fake News Video Detection (2025) Multimodal Fake News Detection 57 Graphing the Truth: Harnessing Causal Insights for Advanced Multimodal Fake News Detection (2025) Multimodal Fake News Detection Bo Wang 0069
59
65 Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection (2020) Graph Learning for Text-Attributed and Heterogeneous Networks 57 Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models (2024) Multimodal Fake News Detection 57 ExplainHM++: Explainable Harmful Meme Detection With Retrieval-Augmented Debate Between Large Multimodal Models (2026) Multimodal Fake News Detection |
57 Cross-document Misinformation Detection based on Event Graph Reasoning (2022) Multimodal Fake News Detection 57 InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection (2021) Multimodal Fake News Detection 39 CiteGuard: Faithful Citation Attribution for LLMs via Retrieval-Augmented Validation (2026) Knowledge Conflict and Faithfulness |
| Exploration-and-Thinking: Agentic Reasoning over Knowledge Graphs via an LLM-RL Synergized Framework
sigir26-125 · China
2/3
|
61 |
Farzad Shami
61
68 Benchmarking Large Language Models for Knowledge Graph Validation (2026) KG-Augmented LLM Reasoning 68 Fact Verification in Knowledge Graphs Using LLMs (2025) KG-Augmented LLM Reasoning 43 GROKE: Vision-Free Navigation Instruction Evaluation via Graph Reasoning on OpenStreetMap (2026) Reasoning Evaluation and Benchmarks 68 LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases (2025) KG-Augmented LLM Reasoning 68 Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution (2024) KG-Augmented LLM Reasoning 64 CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language Models (2026) Knowledge Graph Question Answering |
68 Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning (2026) RL Training of Search Agents 59 WebThinker: Empowering Large Reasoning Models with Deep Research Capability (2025) Agentic and Deep Search RAG 58 Search-o1: Agentic Search-Enhanced Large Reasoning Models (2025) Agentic and Deep Search RAG |
| Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method
sigir26-126 · China, Singapore, United Kingdom
2/3
|
64 |
74 HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning (2025) KG-Augmented LLM Reasoning 74 Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning (2025) KG-Augmented LLM Reasoning 74 MemoTime: Memory-Augmented Temporal Knowledge Graph Enhanced Large Language Model Reasoning (2026) KG-Augmented LLM Reasoning Farzad Shami
62
71 Benchmarking Large Language Models for Knowledge Graph Validation (2026) KG-Augmented LLM Reasoning 71 Fact Verification in Knowledge Graphs Using LLMs (2025) KG-Augmented LLM Reasoning 41 From Single to Multi-agent Reasoning: Advancing GeneGPT for Genomics QA (2026) Retrieval-Augmented and Open-Domain QA |
59 RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation (2025) Agentic and Deep Search RAG 54 Search-o1: Agentic Search-Enhanced Large Reasoning Models (2025) Agentic and Deep Search RAG 53 CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks (2024) Generative Retrieval |
| FAIR-RAG: An End-to-End Framework for Mitigating Political Bias through Fair Retrieval-Augmented Generation
sigir26-127 · South Korea, United States
2/3
|
57 |
67 Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation (2026) Knowledge Conflict and Faithfulness 67 AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning (2026) Knowledge Conflict and Faithfulness 61 Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models (2025) Robustness and Adversarial IR 62 AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach (2024) Fairness Metrics and Evaluation 62 How Does Memorization Impact LLMs' Social Reasoning? An Assessment using Seen and Unseen Queries (2025) Knowledge Conflict and Faithfulness 41 Learning to Reason for Multi-Step Retrieval of Personal Context in Personalized Question Answering (2026) Personalized Question Answering and RAG |
Xiaoxue Zang 44
71 LargePiG for Hallucination-Free Query Generation: Your Large Language Model is Secretly a Pointer Generator (2025) Query Reformulation and Expansion 67 ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability (2025) Knowledge Conflict and Faithfulness 44 QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors (2026) Evidence Selection and Context Refinement |
| FairSpec: Expert Specialization for Fair LLM-based Recommendation
sigir26-128 · China, United States
|
66 |
Jizhi Zhang
58
100 Item-side Fairness of Large Language Model-based Recommendation System (2024) Preference Alignment and Optimization 76 Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation (2023) Preference Alignment and Optimization 71 TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation (2023) Preference Alignment and Optimization Sunhao Dai
56
71 Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era (2024) Bias Mitigation Methods 71 Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era (2025) Bias Mitigation Methods 65 Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents (2025) Robustness and Adversarial IR Keqin Bao
48
100 Item-side Fairness of Large Language Model-based Recommendation System (2024) Preference Alignment and Optimization 76 Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation (2023) Preference Alignment and Optimization 71 TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation (2023) Preference Alignment and Optimization |
Pengyue Jia 43
50 Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends (2025) Efficiency and Deployment 47 SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems (2025) Efficiency and Deployment 45 Prompt Tuning as User Inherent Profile Inference Machine (2025) Efficiency and Deployment |
| FAVE: Flow-based Average Velocity Establishment for Sequential Recommendation
sigir26-129 · China
2/3
|
60 |
Ching Law
44
100 Uni-Layout: Integrating Human Feedback in Unified Layout Generation and Evaluation (2025) Diffusion and Flow Recommenders 100 MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation (2026) Diffusion and Flow Recommenders 63 AutoPP: Towards Automated Product Poster Generation and Optimization (2026) Advertising and Auction Mechanisms Xialong Liu
41
71 S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain (2025) Diffusion and Flow Recommenders 63 Expert-Guided Diffusion Planner for Auto-Bidding (2025) Advertising and Auction Mechanisms 48 CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems (2022) Recommendation with Search and Ranking |
Yanan Niu 43
47 Mixed Attention Network for Cross-domain Sequential Recommendation (2024) Cross-Domain and Cross-Market Sequential Recommendation 46 Disentangling Long and Short-Term Interests for Recommendation (2022) Contrastive and Self-Supervised Sequential Recommendation 45 Inverse Learning with Extremely Sparse Feedback for Recommendation (2024) Robustness to Noise and Distribution Shift |
| FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction
sigir26-130 · China
|
67 |
Jinxin Hu
66
71 HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation (2025) Item Tokenization and Semantic IDs 62 MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation (2026) Item Tokenization and Semantic IDs 62 REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems (2026) Item Tokenization and Semantic IDs Yong He 0009
64
62 MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation (2023) CTR and Conversion Rate Prediction 61 GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems (2022) CTR and Conversion Rate Prediction 60 Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors (2024) Efficiency and Deployment 69 HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation (2025) Item Tokenization and Semantic IDs 58 MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation (2026) Generative Recommendation and Item Tokenization 56 Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework (2025) Multi-Scenario and Multi-Domain CTR Prediction |
Xiaoyi Zeng 52
73 MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation (2026) Item Tokenization and Semantic IDs 71 HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation (2025) Item Tokenization and Semantic IDs 65 RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation (2026) Generative Retrieval and Ranking |
| FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters
sigir26-131 · China
2/3
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50 |
100 RetroLM: Retrieval-Augmented KVs for Long-Context Processing (2026) Efficient and Long-Context RAG 100 MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation (2025) Efficient and Long-Context RAG 100 Boosting Long-Context Information Seeking via Query-Guided Activation Refilling (2025) Efficient and Long-Context RAG Amir Ingber
25
37 An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors (2024) Approximate Nearest Neighbor Search 37 Results of the Big ANN: NeurIPS'23 competition (2025) Approximate Nearest Neighbor Search 34 Bridging Dense and Sparse Maximum Inner Product Search (2024) Approximate Nearest Neighbor Search |
Hongjin Qian 39
100 RetroLM: Retrieval-Augmented KVs for Long-Context Processing (2026) Efficient and Long-Context RAG 100 MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation (2025) Efficient and Long-Context RAG 100 Boosting Long-Context Information Seeking via Query-Guided Activation Refilling (2025) Efficient and Long-Context RAG |
| Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders
sigir26-132 · South Korea
2/3
|
52 |
Huifeng Guo
48
100 SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems (2025) LLM-Derived Knowledge Infusion 65 LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models (2025) Domain-Specific and Structured Retrieval 56 LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations (2025) Generative Recommendation and Item Tokenization 77 Large Language Models Enhanced Collaborative Filtering (2024) Preference Alignment and Optimization 54 MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation (2025) Sequential and Session-based Recommendation 48 Test-Time Alignment with State Space Model for Tracking User Interest Shifts in Sequential Recommendation (2025) Sequential Recommendation with User Modeling and Profiling |
Pengyue Jia 45
78 Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends (2025) Efficiency and Deployment 52 Prompt Tuning as User Inherent Profile Inference Machine (2025) Efficiency and Deployment 49 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation |
| Following the Eye-Tracking Evidence: Established Web-Search Assumptions Fail in Carousel Interfaces
sigir26-133 · Netherlands
2/3
|
81 |
Jiqun Liu
81
100 The Paradox of Personalization: Does Task Prediction Require Individualized Models? (2018) User Behavior and Search Interaction 100 A Reference-Dependent Model for Web Search Evaluation: Understanding and Measuring the Experience of Boundedly Rational Users (2023) User Behavior and Search Interaction 100 Constructing and meta-evaluating state-aware evaluation metrics for interactive search systems (2023) User Behavior and Search Interaction 100 Evaluating Web Search with a Bejeweled Player Model (2017) User Behavior and Search Interaction 100 Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics (2020) User Behavior and Search Interaction 100 Constructing Better Evaluation Metrics by Incorporating the Anchoring Effect into the User Model (2022) User Behavior and Search Interaction |
100 A Passage-Level Reading Behavior Model for Mobile Search (2023) User Behavior and Search Interaction 72 A Flexible User Study Platform for Generative Information Retrieval (2025) User Behavior and Search Interaction 67 G-CoS: An Interpretable Gain-Cost Framework for User Satisfaction Estimation in Generative Information Retrieval (2026) User Behavior and Search Interaction |
| FollowTable: A Benchmark for Instruction-Following Table Retrieval
sigir26-134 · China, United States
2/3
|
56 |
Wenyu Huang
55
67 Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context Permutation (2025) Multi-hop and Complex Reasoning QA 51 Prompting large language models with knowledge graphs for question answering involving long-tail facts (2025) KG-Augmented LLM Reasoning 32 Retrieval Augmented Generation with Rich Answer Encoding (2023) Retrieval-Augmented Generation › Others Andrew Parry
42
48 Constructing and Evaluating Declarative RAG Pipelines in PyTerrier (2025) Retrieval Toolkits and Reproducibility 47 Corpus Subsampling: Estimating the Effectiveness of Neural Retrieval Models on Large Corpora (2025) Evaluation Resources and Tools 40 Variations in Relevance Judgments and the Shelf Life of Test Collections (2025) Test Collection Construction and Pooling |
47 T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking (2023) Evaluation Resources and Tools 45 BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models (2025) Retrieval-Augmented and Open-Domain QA 45 DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models (2024) Multi-Hop and Iterative Retrieval Reasoning |
| From Existence to Exhaustiveness: Unveiling the Compounding Failures of LLMs in Multi-answer Event Temporal Reasoning
sigir26-135 · China
2/3
|
56 |
Wenyu Huang
56
100 Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context Permutation (2025) Multi-hop and Complex Reasoning QA 59 Prompting large language models with knowledge graphs for question answering involving long-tail facts (2025) KG-Augmented LLM Reasoning 33 Retrieval Augmented Generation with Rich Answer Encoding (2023) Retrieval-Augmented Generation › Others Adam Jatowt
52
100 Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models (2023) Multi-hop and Complex Reasoning QA 100 Temporal Blind Spots in Large Language Models (2024) Multi-hop and Complex Reasoning QA 100 Inferential Question Answering (2026) Multi-hop and Complex Reasoning QA |
Hongjin Qian 37
51 Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization (2025) Multi-Hop and Iterative Retrieval Reasoning 46 Grounding Language Model with Chunking-Free In-Context Retrieval (2024) Evidence Selection and Context Refinement 46 HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks (2025) Evidence Selection and Context Refinement |
| GCA-KBQA: A Step-Wise Logical Form Generation Approach for KBQA with Knowledge-Assisted Calibration
sigir26-136 · China
2/3
|
60 |
Yu Gu 0016
56
100 ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering (2022) Knowledge Graph Question Answering 100 Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases (2021) Knowledge Graph Question Answering 100 Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments (2023) Knowledge Graph Question Answering 100 Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs (2023) Knowledge Graph Question Answering 88 Cost-efficient Knowledge-based Question Answering with Large Language Models (2024) Multi-hop and Complex Reasoning QA 74 Knapsack Optimization-Based Schema Linking for LLM-Based Text-to-SQL Generation (2026) Multi-hop and Complex Reasoning QA |
41 UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models (2024) Generative Retrieval 40 RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation (2025) Agentic and Deep Search RAG 39 A Survey of Conversational Search (2025) Conversational Search and Retrieval |
| Generative Auto-Bidding with Unified Modeling and Exploration
sigir26-137 · China
|
100 |
Yusen Huo
100
100 Generative Auto-bidding via Conditional Diffusion Modeling (2024) Advertising and Auction Mechanisms 100 DARA: Few-shot Budget Allocation in Online Advertising via In-Context Decision Making with RL-Finetuned LLMs (2026) Advertising and Auction Mechanisms 100 Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding (2024) Advertising and Auction Mechanisms 100 Generative Auto-bidding via Conditional Diffusion Modeling (2024) Advertising and Auction Mechanisms 100 GAM: A Generative Auto-Marketing Framework in Online E-commerce Platforms (2026) Advertising and Auction Mechanisms 100 DARA: Few-shot Budget Allocation in Online Advertising via In-Context Decision Making with RL-Finetuned LLMs (2026) Advertising and Auction Mechanisms 100 Generative Auto-bidding via Conditional Diffusion Modeling (2024) Advertising and Auction Mechanisms 100 GAM: A Generative Auto-Marketing Framework in Online E-commerce Platforms (2026) Advertising and Auction Mechanisms 100 DARA: Few-shot Budget Allocation in Online Advertising via In-Context Decision Making with RL-Finetuned LLMs (2026) Advertising and Auction Mechanisms |
28 Vertical selection in the presence of unlabeled verticals (2010) Personalized and Context-Aware Retrieval 28 Learning to aggregate vertical results into web search results (2011) Personalized and Context-Aware Retrieval 28 Sources of evidence for vertical selection (2009) Personalized and Context-Aware Retrieval |
| GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items
sigir26-138 · China, United States
|
56 |
Xuanhua Yang
52
72 GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation (2026) Generative Retrieval and Ranking 63 Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding (2022) Diffusion and Flow Recommenders 47 Breaking the Relevance-Diversity Seesaw: Hierarchical LLM Reasoning with RL for Industrial Novelty Recommendation (2026) Preference Alignment and Optimization Ed H. Chi
50
73 Recommender Systems with Generative Retrieval (2023) Item Tokenization and Semantic IDs 63 PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations (2026) Item Tokenization and Semantic IDs 58 Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation (2023) Content and Attribute-Based Cold-Start Recommendation 87 RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation (2026) Generative Retrieval and Ranking 57 Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion (2025) Multimodal Generative Recommendation 56 Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework (2025) Multi-Scenario and Multi-Domain CTR Prediction |
59 Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation (2026) Content-Based Transferable Recommendation 58 Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation (2021) Domain Adaptation and Disentangled Representation for CDR 58 Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation (2023) Domain Adaptation and Disentangled Representation for CDR |
| GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
sigir26-139 · China
2/3
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56 |
77 OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service (2026) Item Tokenization and Semantic IDs 61 DiffGRM: Diffusion-based Generative Recommendation Model (2026) Diffusion and Flow Recommenders 49 GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework (2026) Approximate Nearest Neighbor Search Lichan Hong
48
72 Recommender Systems with Generative Retrieval (2023) Item Tokenization and Semantic IDs 63 PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations (2026) Generative Recommendation and Item Tokenization 50 Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations (2024) Item Tokenization and Semantic IDs |
Leyu Lin 49
54 Hierarchical Reinforcement Learning for Integrated Recommendation (2021) Offline RL for Recommendation 51 Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation (2021) Offline RL for Recommendation 48 CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation (2023) Contrastive and Self-Supervised Sequential Recommendation |
| Good Ranks Follow Good Answers: Unsupervised Answer-Driven Reranking for Multimodal Document QA
sigir26-140 · United States
|
54 |
72 Will My Question Be Answered? Predicting "Question Answerability" in Community Question-Answering Sites (2013) Retrieval-Augmented and Open-Domain QA 72 SIGIR 2016 Workshop WebQA II: Web Question Answering Beyond Factoids (2016) Retrieval-Augmented and Open-Domain QA 72 Learning from the past: answering new questions with past answers (2012) Retrieval-Augmented and Open-Domain QA 68 S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data (2023) Web-Scale Learning to Rank 49 ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability (2026) LLM-Based Reranking 46 M2oERank: Multi-Objective Mixture-of-Experts Enhanced Ranking for Satisfaction-Oriented Web Search (2025) Web-Scale Learning to Rank 53 Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents (2023) Text Embedding and Representation Learning 46 GS2P: a generative pre-trained learning to rank model with over-parameterization for web-scale search (2024) Web-Scale Learning to Rank 46 GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract) (2024) Web-Scale Learning to Rank |
72 Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback (2024) Ranking Distillation and Adaptation 72 BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models (2025) Retrieval-Augmented and Open-Domain QA 43 Leveraging Document-Level and Query-Level Passage Cumulative Gain for Document Ranking (2022) Cross-Encoder and Neural Reranking |
| HCPRA: A Hierarchical Cognition-Perception-Reasoning Agent Framework for Emotion-Cause Pair Extraction in Conversations
sigir26-141 · China, Pakistan, United States
|
79 |
100 Correcting Large Language Model Behavior via Influence Function (2025) Others 100 Uncertainty-penalized reinforcement learning from human feedback with diversified reward LoRA ensembles (2026) Others 100 Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models (2025) Others Fangzhou Yao
67
100 Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling (2024) Others 100 BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling (2025) Others 100 Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm (2024) Others 100 Dual Discrepancy-Based Continuation Learning for Hybrid Supervised Multi-View 3D Object Detection (2025) Others 19 An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising (2025) Advertising and Auction Mechanisms 19 GAM: A Generative Auto-Marketing Framework in Online E-commerce Platforms (2026) Advertising and Auction Mechanisms |
Ge Li 0001 78
100 A unified multi-task learning model for AST-level and token-level code completion (2022) Others 100 Peer-aided repairer: empowering large language models to repair advanced student assignments (2026) Others 100 Learning to Infer API Mappings from API Documents (2017) Others |
| HiRA: Decoupling Planning and Execution with Hierarchical Reasoning in Deep Search
sigir26-142 · United States
|
58 |
74 WebWalker: Benchmarking LLMs in Web Traversal (2025) Agentic and Deep Search RAG 60 WebDancer: Towards Autonomous Information Seeking Agency (2025) Deep Research and Report Generation 60 Nested Browser-Use Learning for Agentic Information Seeking (2026) Deep Research and Report Generation Wonduk Seo
56
58 SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science (2026) Multi-Agent and Tool-Use Orchestration 47 Automated Visualization Code Synthesis via Multi-path Reasoning and Feedback-Driven Optimizations (2026) Reasoning Evaluation and Benchmarks 38 A New Query Expansion Approach for Enhancing Information Retrieval via Agent-Mediated Dialogic Inquiry (2026) Query Reformulation and Expansion Kaixin Ma
52
72 Retrieval-augmented GUI Agents with Generative Guidelines (2025) Agentic and Deep Search RAG 58 Knowledge-enhanced Agents for Interactive Text Games (2023) Multi-Agent and Tool-Use Orchestration 58 WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models (2024) Multi-Agent and Tool-Use Orchestration |
Dacheng Tao 44
58 RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents (2026) Multi-Agent and Tool-Use Orchestration 52 Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search (2025) Multimodal Reasoning and Grounding 45 SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data (2025) RL Training of Search Agents |
| How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews
sigir26-143 · Singapore, United States
2/3
|
66 |
Falk Scholer
48
69 On the Use of LLMs for Relevance Labelling (2026) User Behavior and Search Interaction 69 Enhancing Human Annotation: Leveraging Large Language Models and Efficient Batch Processing (2024) User Behavior and Search Interaction 67 Classifying Term Variants in Query Formulation (2025) User Behavior and Search Interaction 65 FULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking (2025) User Behavior and Search Interaction 64 M2oERank: Multi-Objective Mixture-of-Experts Enhanced Ranking for Satisfaction-Oriented Web Search (2025) User Behavior and Search Interaction 63 RankExpert: A Mixture of Textual-and-Behavioral Experts for Multi-Objective Learning-to-Rank in Web Search (2025) User Behavior and Search Interaction |
Ziyi Ye 53
67 Query Augmentation with Brain Signals (2024) User Behavior and Search Interaction 67 Relevance Feedback with Brain Signals (2024) User Behavior and Search Interaction 64 EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation (2024) User Behavior and Search Interaction |
| How Variability Influences Podcast Search: Queries, Transcriptions, and Judges
sigir26-144 · Australia, United States
|
67 |
75 A System for Efficient High-Recall Retrieval (2018) User Behavior and Search Interaction 75 Effective User Interaction for High-Recall Retrieval: Less is More (2018) User Behavior and Search Interaction 74 Evaluating Streams of Evolving News Events (2015) User Behavior and Search Interaction 71 Tip of the Tongue Query Elicitation for Simulated Evaluation (2025) User Simulation for Interactive Systems 71 Multilingual and Domain-Agnostic Tip-of-the-Tongue Query Generation for Simulated Evaluation (2026) User Simulation for Interactive Systems 68 The Effects of Vertical Rank and Border on Aggregated Search Coherence and Search Behavior (2014) User Behavior and Search Interaction 62 On the Ordering of Pooled Web Pages, Gold Assessments, and Bronze Assessments (2024) Test Collection Construction and Pooling 62 WWW3E8: 259, 000 Relevance Labels for Studying the Effect of Document Presentation Order for Relevance Assessors (2021) Test Collection Construction and Pooling 62 Lessons from BMIR-J2: A Test Collection for Japanese IR Systems (1998) Test Collection Construction and Pooling |
Ziyi Ye 51
74 Comparing point-wise and pair-wise relevance judgment with brain signals (2024) User Behavior and Search Interaction 70 Query Augmentation with Brain Signals (2024) User Behavior and Search Interaction 67 Relevance Feedback with Brain Signals (2024) User Behavior and Search Interaction |
| Hybrid Pooling with LLMs via Relevance Context Learning
sigir26-145 · Spain
|
70 |
73 System Comparison Using Automated Generation of Relevance Judgements in Multiple Languages (2025) LLM-Based Relevance Assessment 73 LLM4Eval@WSDM 2025: Large Language Model for Evaluation in Information Retrieval (2025) LLM-Based Relevance Assessment 73 LLM4Eval: Large Language Model for Evaluation in IR (2025) LLM-Based Relevance Assessment 73 Relevance Assessments for Web Search Evaluation: Should We Randomise or Prioritise the Pooled Documents? (2022) Test Collection Construction and Pooling 73 WWW3E8: 259, 000 Relevance Labels for Studying the Effect of Document Presentation Order for Relevance Assessors (2021) Test Collection Construction and Pooling 73 On the Ordering of Pooled Web Pages, Gold Assessments, and Bronze Assessments (2024) Test Collection Construction and Pooling Andrew Parry
46
73 Variations in Relevance Judgments and the Shelf Life of Test Collections (2025) Test Collection Construction and Pooling 62 Large Language Model Relevance Assessors Agree With One Another More Than With Human Assessors (2025) LLM-Based Relevance Assessment 52 Corpus Subsampling: Estimating the Effectiveness of Neural Retrieval Models on Large Corpora (2025) Evaluation Resources and Tools |
52 T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking (2023) Evaluation Resources and Tools 45 Investigating Passage-level Relevance and Its Role in Document-level Relevance Judgment (2019) User Behavior and Search Interaction 42 DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models (2024) Multi-Hop and Iterative Retrieval Reasoning |
| Hypergraph Diffusion-Based Sequential Ensemble for CTR Prediction
sigir26-146 · China
|
69 |
Ching Law
53
65 DPEO: Dynamic Preference Evolution Optimization for Self-Evolving CTR Prediction (2026) CTR and Conversion Rate Prediction 65 Uni-Layout: Integrating Human Feedback in Unified Layout Generation and Evaluation (2025) Diffusion and Flow Recommenders 65 MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation (2026) Diffusion and Flow Recommenders 65 Deep Pattern Network for Click-Through Rate Prediction (2024) CTR and Conversion Rate Prediction 65 AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling (2022) CTR and Conversion Rate Prediction 64 Long-Sequence Recommendation Models Need Decoupled Embeddings (2025) CTR and Conversion Rate Prediction 69 Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction (2022) CTR and Conversion Rate Prediction 69 LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction (2025) CTR and Conversion Rate Prediction 65 Infer As You Train: A Symmetric Paradigm of Masked Generative for Click-Through Rate Prediction (2026) CTR and Conversion Rate Prediction |
Yanan Niu 48
76 TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou (2024) CTR and Conversion Rate Prediction 71 Disentangled Interest Network for Out-of-Distribution CTR Prediction (2026) CTR and Conversion Rate Prediction 47 PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information (2023) Multi-Scenario and Multi-Domain CTR Prediction |
| Incentivizing Retrieval-Augmented Generation via Inner Adaptive Context Selection
sigir26-147 · China
2/3
|
61 |
73 Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task (2025) Efficient and Long-Context RAG 62 A Multi-Task Embedder For Retrieval Augmented LLMs (2024) Evidence Selection and Context Refinement 61 RetroLM: Retrieval-Augmented KVs for Long-Context Processing (2026) Efficient and Long-Context RAG 66 The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG (2026) Efficient and Long-Context RAG 63 Activation Caching for Retrieval-Augmented Generation (2026) Efficient and Long-Context RAG 61 Latent Retrieval Augmented Generation (2026) Efficient and Long-Context RAG |
Hongjin Qian 56
61 RetroLM: Retrieval-Augmented KVs for Long-Context Processing (2026) Efficient and Long-Context RAG 61 MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation (2025) Efficient and Long-Context RAG 61 Grounding Language Model with Chunking-Free In-Context Retrieval (2024) Evidence Selection and Context Refinement |
| Incremental Multi-Behavior Recommendation
sigir26-148 · China
2/3
|
59 |
Yongjing Hao
53
74 Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation (2023) Sequential and Session-Based Graph Recommendation 74 Multi-dimensional Graph Neural Network for Sequential Recommendation (2023) Sequential and Session-Based Graph Recommendation 59 Learnable Model Augmentation Contrastive Learning for Sequential Recommendation (2024) Contrastive and Self-Supervised Sequential Recommendation Ziru Liu
48
55 Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention (2024) Multi-Behavior and Multi-Interest Sequential Recommendation 55 Multi-Task Recommendations with Reinforcement Learning (2023) Offline RL for Recommendation 52 Modeling User Retention through Generative Flow Networks (2024) Multi-Behavior Recommendation |
Yanan Niu 59
74 When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation (2022) Sequential and Session-Based Graph Recommendation 74 Sequential Recommendation with Graph Neural Networks (2021) Sequential and Session-Based Graph Recommendation 64 Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System (2023) Multi-Behavior and Multi-Interest Sequential Recommendation |
| Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning
sigir26-149 · Australia, China
|
53 |
Dongxiao He
53
100 Text-Rich Graph Neural Networks With Subjective-Objective Semantic Modeling (2024) Graph Learning for Text-Attributed and Heterogeneous Networks 100 Embedding text-rich graph neural networks with sequence and topical semantic structures (2023) Graph Learning for Text-Attributed and Heterogeneous Networks 100 AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks (2021) Graph Learning for Text-Attributed and Heterogeneous Networks 100 On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks (2024) Graph Learning for Text-Attributed and Heterogeneous Networks 100 Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices (2024) Graph Learning for Text-Attributed and Heterogeneous Networks 75 TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning (2024) Graph Pretraining and Foundation Models 51 SpecG: A Spectral-Based Framework for Effective Graph Pretraining and Knowledge Transfer (2025) Graph Pretraining and Foundation Models 44 Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation (2024) Graph-based User and Item Representation Learning 43 Towards Self-Interpretable Graph-Level Anomaly Detection (2023) Graph Anomaly and Out-of-Distribution Detection |
Qiaoyu Tan 32
70 GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (2024) Graph Contrastive and Self-Supervised Learning 54 UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding (2025) Text Embedding and Representation Learning 49 AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning (2026) RL Training of Search Agents |
| IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering
sigir26-150 · South Korea, United States
2/3
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57 |
72 On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based Method (2023) Conversational Search and Retrieval 71 Will My Question Be Answered? Predicting "Question Answerability" in Community Question-Answering Sites (2013) Retrieval-Augmented and Open-Domain QA 71 Learning from the past: answering new questions with past answers (2012) Retrieval-Augmented and Open-Domain QA Jinheon Baek
45
72 Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement (2023) Conversational Search and Retrieval 70 Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks (2023) Retrieval-Augmented and Open-Domain QA 58 Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion (2024) Conversational Search and Retrieval |
Pengyue Jia 46
55 Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval (2026) Personalized and Conversational RAG 55 Bridging Personalization and AI: From RAG to Agent (2026) Personalized and Conversational RAG 51 Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends (2025) Efficiency and Deployment |
| Learning to Retrieve from Agent Trajectories
sigir26-151 · China, United States
|
56 |
86 Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents (2023) Reasoning-Intensive Retrieval and Ranking 60 ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability (2026) LLM-Based Reranking 53 PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval (2021) Sparse and Dense Retrieval Encoders 58 Data Augmentation for Sample Efficient and Robust Document Ranking (2024) Ranking Distillation and Adaptation 54 Efficient Neural Ranking using Forward Indexes (2022) Learned Sparse Retrieval Efficiency 54 Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders (2024) Learned Sparse Retrieval Efficiency 60 S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data (2023) Web-Scale Learning to Rank 53 Retain to Refine: Adaptive Online Question Answering via Query Routing and Long-Short Memory (2026) Agentic and Deep Search RAG 49 GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract) (2024) Web-Scale Learning to Rank |
62 LTRR: Learning To Rank Retrievers for LLMs (2026) Evidence Selection and Context Refinement 56 Learning to Match using Local and Distributed Representations of Text for Web Search (2017) Dense Bi-Encoder Training and Representation Learning 55 MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers (2025) Evidence Selection and Context Refinement |
| Logit Inflation in ListMLE: Theoretical Analysis and Mitigation Strategies
sigir26-152 · United States
2/3
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50 |
100 Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance (2023) Ranking Losses and Objectives 100 Scale Calibration of Deep Ranking Models (2022) Ranking Losses and Objectives 100 RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses (2023) Ranking Losses and Objectives 100 On Optimizing Top-K Metrics for Neural Ranking Models (2022) Ranking Losses and Objectives 75 Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance (2023) Ranking Losses and Objectives 68 RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses (2023) Cross-Encoder and Neural Reranking |
100 Regularizing ad hoc retrieval scores (2005) Ranking Losses and Objectives 37 Sources of evidence for vertical selection (2009) Personalized and Context-Aware Retrieval 37 Learning to aggregate vertical results into web search results (2011) Personalized and Context-Aware Retrieval |
| LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation
sigir26-153 · China
|
63 |
Bo Chen 0023
63
76 Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models (2024) Knowledge Infusion and Open-World Augmentation 76 Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models (2026) Knowledge Infusion and Open-World Augmentation 66 Large language models make sample-efficient recommender systems (2025) Efficiency and Deployment Jieming Zhu
59
76 Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models (2026) Knowledge Infusion and Open-World Augmentation 76 Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models (2024) Knowledge Infusion and Open-World Augmentation 74 EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration (2025) Generative Recommendation and Item Tokenization Qijiong Liu
55
78 ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models (2024) LLM-Derived Knowledge Infusion 77 RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation (2025) Generative Retrieval and Recommendation Architectures 59 Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation (2025) Efficiency and Deployment |
Pengyue Jia 49
64 Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends (2025) Efficiency and Deployment 62 SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems (2025) Efficiency and Deployment 58 Prompt Tuning as User Inherent Profile Inference Machine (2025) Efficiency and Deployment |
| Mining Informative Interests via Latent Cross Reasoning for Search Enhanced Recommendation
sigir26-154 · China, United States
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56 |
61 Text Is All You Need: Learning Language Representations for Sequential Recommendation (2023) Sequential and Session-based Recommendation 54 Neighborhood-Based Collaborative Filtering for Conversational Recommendation (2024) Conversational Recommendation Systems 51 A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys) (2024) Generative Models for Recommendation and Content › Others 53 Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs (2025) Item Tokenization and Semantic IDs 48 OpenSiteRec: An Open Dataset for Site Recommendation (2024) Recommendation Systems and Evaluation 44 Optimal Transport Enhanced Cross-City Site Recommendation (2024) Cross-Domain and Cross-Market Sequential Recommendation Gyuseok Lee
46
46 Capturing User Interests from Data Streams for Continual Sequential Recommendation (2026) Efficient Sequential Recommendation Architectures 34 Harmonic Dataset Distillation for Time Series Forecasting (2026) Others 33 Continual Collaborative Distillation for Recommender System (2024) Efficient and Lightweight Graph Collaborative Filtering |
65 Empowering Denoising Sequential Recommendation with Large Language Model Embeddings (2025) Sequential and Session-based Recommendation 65 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation 65 SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation (2026) Sequential and Session-based Recommendation |
| Mitigating Bias in Large Language Model Based Question Answering through Causal Front Door Prompting
sigir26-155 · Australia, United States
2/3
|
56 |
Adam Jatowt
56
67 ArchivalQA: A Large-scale Benchmark Dataset for Open-Domain Question Answering over Historical News Collections (2022) Multi-hop and Complex Reasoning QA 65 Wrong Answers Can Also Be Useful: PlausibleQA - A Large-Scale QA Dataset with Answer Plausibility Scores (2025) Multi-hop and Complex Reasoning QA 65 Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models (2023) Multi-hop and Complex Reasoning QA 65 Gender disentangled representation learning in neural rankers (2025) Bias Mitigation Methods 40 ProActLLM: Proactive Conversational Information Seeking with Large Language Models (2025) Conversational Search and Retrieval 38 Reinforcement Learning for Effective Few-Shot Ranking (2025) Ranking Distillation and Adaptation |
Jun Xu 0001 39
42 QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors (2026) Evidence Selection and Context Refinement 42 ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding (2025) Multi-Hop and Iterative Retrieval Reasoning 41 PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization (2025) Personalized and Conversational RAG |
| mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA
sigir26-156 · China
|
65 |
73 PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation (2026) Multimodal and Graph RAG 69 HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning (2025) KG-Augmented LLM Reasoning 69 Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning (2025) KG-Augmented LLM Reasoning 48 Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models (2024) Multimodal Reasoning and Grounding 45 GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs (2026) Language Model Pre-training and Adaptation 44 How Accents Confound: Probing for Accent Information in End-to-End Speech Recognition Systems (2020) Multimodal Retrieval and Embedding Qingyi Si
51
56 Cross-modality Multiple Relations Learning for Knowledge-based Visual Question Answering (2024) Knowledge Graph Question Answering 53 Combo of Thinking and Observing for Outside-Knowledge VQA (2023) Retrieval-Augmented and Open-Domain QA 48 Object Attribute Matters in Visual Question Answering (2024) Multimodal Reasoning and Grounding |
Xiaoye Qu 44
69 SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information (2024) Evidence Selection and Context Refinement 60 Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation (2025) Knowledge Conflict and Faithfulness 51 Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models (2026) Multimodal Evaluation and Benchmarks |
| Modular Representation Compression: Adapting LLM Representations for Efficient and Effective Recommendation
sigir26-157 · China
2/3
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51 |
71 Review-Enhanced Universal Sequence Representation Learning for Recommender Systems (2025) Text Embedding and Representation Learning 66 Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis (2025) Efficiency and Deployment 66 Large Language Models are Zero-Shot Rankers for Recommender Systems (2024) Efficiency and Deployment Weipeng Chen
43
66 LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation (2025) Text Embedding and Representation Learning 66 HGSVerb: Improving Zero-shot Text Classification via Hierarchical Generative Semantic-Aware Verbalizer (2024) Text Embedding and Representation Learning 41 PQCache: Product Quantization-based KVCache for Long Context LLM Inference (2025) Learned Sparse Retrieval Efficiency |
Xiaoyi Zeng 41
47 SIGMA: A Semantic-Grounded Instruction-Driven Generative Multi-Task Recommender at AliExpress (2026) Generative Recommendation and Item Tokenization 43 MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation (2026) Item Tokenization and Semantic IDs 42 REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems (2026) Item Tokenization and Semantic IDs |
| MUDY: Multi-Granular Dynamic Candidate Contextualization for Unsupervised Keyphrase Extraction
sigir26-158 · South Korea
|
62 |
Weipeng Chen
62
100 DataSculpt: A Holistic Data Management Framework for Long-Context LLMs Training (2025) Language Model Pre-training and Adaptation 100 Exploring Context Window of Large Language Models via Decomposed Positional Vectors (2024) Language Model Pre-training and Adaptation 100 KV Shifting Attention Enhances Language Modeling (2025) Language Model Pre-training and Adaptation Di Wu 0054
57
100 On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation (2024) Language Model Pre-training and Adaptation 100 Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models (2023) Language Model Pre-training and Adaptation 100 Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks (2023) Language Model Pre-training and Adaptation Xi Ye 0003
56
100 Assessing Out-of-Domain Language Model Performance from Few Examples (2023) Language Model Pre-training and Adaptation 100 Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting (2023) Language Model Pre-training and Adaptation 100 Can Explanations Be Useful for Calibrating Black Box Models? (2022) Language Model Pre-training and Adaptation |
Xiaoye Qu 49
100 Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment (2025) Language Model Pre-training and Adaptation 100 LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training (2024) Language Model Pre-training and Adaptation 100 On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion (2024) Language Model Pre-training and Adaptation |
| Multi-Faceted Continual Knowledge Graph Embedding for Semantic-Aware Link Prediction
sigir26-159 · China
|
79 |
100 Knowledge Graph Embedding: A Locally and Temporally Adaptive Translation-Based Approach (2018) Knowledge Graph Embedding and Completion 100 Locally Adaptive Translation for Knowledge Graph Embedding (2016) Knowledge Graph Embedding and Completion 100 Inductive Link Prediction in N-ary Knowledge Graphs (2025) Knowledge Graph Embedding and Completion Ben Liu 0002
75
100 Clarified Aggregation and Predictive Modeling (CAPM): High-Interpretability Framework for Inductive Link Prediction (2024) Knowledge Graph Embedding and Completion 100 UniLP: Unified Topology-aware Generative Framework for Link Prediction in Knowledge Graph (2024) Knowledge Graph Embedding and Completion 100 Neighboring relation enhanced inductive knowledge graph link prediction via meta-learning (2023) Knowledge Graph Embedding and Completion Jiapu Wang
64
100 MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion (2024) Knowledge Graph Embedding and Completion 100 Multi-Concept Representation Learning for Knowledge Graph Completion (2023) Knowledge Graph Embedding and Completion 100 TDN: Triplet Distributor Network for Knowledge Graph Completion (2023) Knowledge Graph Embedding and Completion |
63 Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation (2022) Knowledge Graph Embedding and Completion 63 Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation (2022) Knowledge Graph Embedding and Completion 32 LightReasoner: Can Small Language Models Teach Large Language Models Reasoning? (2026) Reward Modeling and Process Supervision |
| Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items
sigir26-160 · United States
2/3
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67 |
71 OmniSep: Unified Omni-Modality Sound Separation with Query-Mixup (2025) Multimodal Retrieval and Embedding 71 SyncTalklip: Highly Synchronized Lip-Readable Speaker Generation with Multi-Task Learning (2024) Multimodal Retrieval and Embedding 71 WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling (2025) Multimodal Retrieval and Embedding 49 SOIL: Contrastive Second-Order Interest Learning for Multimodal Recommendation (2024) Graph Contrastive and Self-Supervised Learning 49 Flip is Better than Noise: Unbiased Interest Generation for Multimedia Recommendation (2025) Diffusion and Flow Recommenders 36 Task-Adversarial Adaptation for Multi-modal Recommendation (2023) Domain Adaptation and Disentangled Representation for CDR |
Xiaoye Qu 39
71 CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling (2025) Universal Multimodal Embedding and MLLM Retrieval 52 Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation (2025) Knowledge Conflict and Faithfulness 51 SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information (2024) Evidence Selection and Context Refinement |
| Multi-Perspective Driven Expected Location Preferences for Next POI Recommendations
sigir26-161 · China
2/3
|
63 |
Fei Sun 0001
59
100 XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender System (2022) Sequential Recommendation with User Modeling and Profiling 84 SDM: Sequential Deep Matching Model for Online Large-scale Recommender System (2019) Multi-Behavior and Multi-Interest Sequential Recommendation 74 Intent Preference Decoupling for User Representation on Online Recommender System (2020) Sequential Recommendation with User Modeling and Profiling 100 MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation (2025) Sequential Recommendation with User Modeling and Profiling 86 Temporal Linear Item-Item Model for Sequential Recommendation (2025) Efficient and Long-Sequence Sequential Recommendation 54 Linear Item-Item Models with Neural Knowledge for Session-based Recommendation (2025) Efficient and Long-Sequence Sequential Recommendation |
Yanan Niu 51
61 Disentangling Long and Short-Term Interests for Recommendation (2022) Contrastive and Self-Supervised Sequential Recommendation 60 Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation (2023) Multi-Behavior and Multi-Interest Sequential Recommendation 60 Dual-interest Factorization-heads Attention for Sequential Recommendation (2023) Multi-Behavior and Multi-Interest Sequential Recommendation |
| Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
sigir26-162 · Australia, United States
|
67 |
69 Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables (2024) Automated Fact Checking and Claim Verification 69 Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks (2024) Automated Fact Checking and Claim Verification 69 Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention (2022) Automated Fact Checking and Claim Verification Qisheng Hu
55
69 Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance? (2025) Automated Fact Checking and Claim Verification 68 Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification (2026) Automated Fact Checking and Claim Verification 43 Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance (2025) Multi-hop and Complex Reasoning QA 87 Combining Evidence and Reasoning for Biomedical Fact-Checking (2025) Automated Fact Checking and Claim Verification 86 Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification (2025) RAG for Domain Applications 39 SOLVE-Med: Specialized Orchestration for Leading Vertical Experts Across Medical Specialties (2025) Retrieval-Augmented and Open-Domain QA |
Hongjin Qian 40
54 Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization (2025) Multi-Hop and Iterative Retrieval Reasoning 52 Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging (2025) Agentic and Deep Search RAG 41 HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks (2025) Evidence Selection and Context Refinement |
| NuggetIndex: Governed Atomic Retrieval for Maintainable RAG
sigir26-163 · Germany
2/3
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69 |
63 SCBench: A KV Cache-Centric Analysis of Long-Context Methods (2025) Learned Sparse Retrieval Efficiency 63 LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models (2023) Learned Sparse Retrieval Efficiency 63 LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression (2024) Learned Sparse Retrieval Efficiency 63 Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation (2026) Evidence Selection and Context Refinement 51 Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation (2025) Knowledge Conflict and Faithfulness 51 REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering (2024) Evidence Selection and Context Refinement |
55 RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation (2025) Generative Retrieval 55 CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks (2024) Generative Retrieval 53 Hierarchical Document Refinement for Long-context Retrieval-augmented Generation (2025) Evidence Selection and Context Refinement |
| NumColBERT: Non-Intrusive Numeracy Injection for Late-Interaction Retrieval Models
sigir26-164 · Japan
|
74 |
88 Learning Passage Impacts for Inverted Indexes (2021) Learned Sparse Retrieval Efficiency 88 Improved Learned Sparse Retrieval with Corpus-Specific Vocabularies (2024) Learned Sparse Retrieval Efficiency 84 Faster Learned Sparse Retrieval with Block-Max Pruning (2024) Learned Sparse Retrieval Efficiency Xueguang Ma
63
88 LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum (2026) Learned Sparse Retrieval Efficiency 84 Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini (2025) Learned Sparse Retrieval Efficiency 84 SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes (2023) Learned Sparse Retrieval Efficiency 84 Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col (2023) Learned Sparse Retrieval Efficiency 79 An Inspection of the Reproducibility and Replicability of TCT-ColBERT (2022) Learned Sparse Retrieval Efficiency 57 Effective Contrastive Weighting for Dense Query Expansion (2023) Query Reformulation and Expansion |
Xiaoyi Zeng 41
55 CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval (2025) Efficient Retrieval and Indexing 52 Embedding-based Product Retrieval in Taobao Search (2021) Recommendation with Search and Ranking 52 Delving into E-Commerce Product Retrieval with Vision-Language Pre-training (2023) Universal Multimodal Embedding and MLLM Retrieval |
| One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
sigir26-165 · China, Singapore
2/3
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64 |
75 MTA: A Merge-then-Adapt Framework for Personalized Large Language Models (2026) LLM-Based Sequential Recommendation 56 Bridging Personalization and AI: From RAG to Agent (2026) Personalized and Conversational RAG 56 A Survey of Personalization: From RAG to Agent (2026) Personalized and Conversational RAG Dan Luo 0004
39
41 Flow Matching Based Sequential Recommender Model (2025) Diffusion and Flow Recommenders 39 Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation (2024) Unbiased Learning to Rank 39 Model-based Unbiased Learning to Rank (2023) Unbiased Learning to Rank |
Pengyue Jia 45
55 Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends (2025) Efficiency and Deployment 54 Prompt Tuning as User Inherent Profile Inference Machine (2025) Efficiency and Deployment 50 Bridging Personalization and AI: From RAG to Agent (2026) Personalized and Conversational RAG |
| PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID
sigir26-166 · China, United Kingdom
|
79 |
Xueguang Ma
70
81 Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini (2025) Learned Sparse Retrieval Efficiency 81 SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes (2023) Learned Sparse Retrieval Efficiency 80 LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum (2026) Learned Sparse Retrieval Efficiency 80 LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum (2026) Learned Sparse Retrieval Efficiency 72 Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study (2022) Query Reformulation and Expansion 72 Revisiting Document Expansion and Filtering for Effective First-Stage Retrieval (2024) Query Reformulation and Expansion 81 Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations (2021) Learned Sparse Retrieval Efficiency 81 SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes (2023) Learned Sparse Retrieval Efficiency 81 CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval (2023) Learned Sparse Retrieval Efficiency |
63 Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback (2021) Query Reformulation and Expansion 60 Aligning Web Query Generation with Ranking Objectives via Direct Preference Optimization (2025) Query Reformulation and Expansion 52 Few-Shot Generative Conversational Query Rewriting (2020) Conversational Search and Retrieval |
| Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems
sigir26-167 · Australia, China
|
67 |
Sunhao Dai
63
69 Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era (2025) Bias Mitigation Methods 69 Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era (2024) Bias Mitigation Methods 66 Neural Retrievers are Biased Towards LLM-Generated Content (2024) Robustness and Adversarial IR 76 Intersectional Two-sided Fairness in Recommendation (2024) Popularity Bias and Long-Tail Debiasing 75 Improving Long-tail User CTR Prediction via Hierarchical Distribution Alignment (2025) Bias Mitigation Methods 56 Double Correction Framework for Denoising Recommendation (2024) Robustness to Noise and Distribution Shift 54 RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors (2026) Robustness to Noise and Distribution Shift 51 Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias (2024) Popularity Bias and Debiasing in Recommendation 51 Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning (2024) Popularity Bias and Debiasing in Recommendation |
Xin Xin 0003 56
64 Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure (2025) Contrastive and Self-Supervised Sequential Recommendation 64 A Self-Correcting Sequential Recommender (2023) Contrastive and Self-Supervised Sequential Recommendation 62 Learning Robust Recommenders through Cross-Model Agreement (2022) Popularity Bias and Debiasing in Recommendation |
| Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG
sigir26-168 · Australia, China
|
73 |
100 DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers (2025) Universal Multimodal Embedding and MLLM Retrieval 100 REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark (2025) Universal Multimodal Embedding and MLLM Retrieval 19 Paint by Inpaint: Learning to Add Image Objects by Removing Them First (2025) Generative Models for Recommendation and Content › Others 66 A Fast and Accurate One-Stage Approach to Visual Grounding (2019) Universal Multimodal Embedding and MLLM Retrieval 66 Improving One-Stage Visual Grounding by Recursive Sub-query Construction (2020) Universal Multimodal Embedding and MLLM Retrieval 66 Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections (2014) Universal Multimodal Embedding and MLLM Retrieval Tingyu Song
46
69 Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing (2026) Universal Multimodal Embedding and MLLM Retrieval 54 LimRank: Less is More for Reasoning-Intensive Information Reranking (2025) Evidence Selection and Context Refinement 41 VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos (2025) Video and Temporal Understanding |
Hongjin Qian 45
53 Evolving Graph-Based Context Modeling for Multi-Turn Conversational Retrieval-Augmented Generation (2025) Conversational Search and Retrieval 47 Grounding Language Model with Chunking-Free In-Context Retrieval (2024) Evidence Selection and Context Refinement 47 HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks (2025) Evidence Selection and Context Refinement |
| Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation
sigir26-169 · China, Singapore
|
85 |
100 HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning (2025) KG-Augmented LLM Reasoning 100 Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning (2025) KG-Augmented LLM Reasoning 100 MemoTime: Memory-Augmented Temporal Knowledge Graph Enhanced Large Language Model Reasoning (2026) KG-Augmented LLM Reasoning Farzad Shami
64
68 Benchmarking Large Language Models for Knowledge Graph Validation (2026) KG-Augmented LLM Reasoning 68 Fact Verification in Knowledge Graphs Using LLMs (2025) KG-Augmented LLM Reasoning 43 From Single to Multi-agent Reasoning: Advancing GeneGPT for Genomics QA (2026) Retrieval-Augmented and Open-Domain QA 71 CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language Models (2026) Knowledge Graph Question Answering 68 LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases (2025) KG-Augmented LLM Reasoning 68 Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution (2024) KG-Augmented LLM Reasoning |
Hongjin Qian 42
54 Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization (2025) Multi-Hop and Iterative Retrieval Reasoning 54 Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging (2025) Agentic and Deep Search RAG 53 Evolving Graph-Based Context Modeling for Multi-Turn Conversational Retrieval-Augmented Generation (2025) Conversational Search and Retrieval |
| Recasting Web-Scale Query Suggestion as dense retrieval: Efficient, Up-to-Date, and Context-Aware Suggestions
sigir26-170 · Japan
|
62 |
59 Enhanced Retrieval Effectiveness through Selective Query Generation (2024) Query Reformulation and Expansion 59 ReFormeR: Learning and Applying Explicit Query Reformulation Patterns (2026) Query Reformulation and Expansion 59 Query Performance Prediction: From Ad-hoc to Conversational Search (2023) Query Performance Prediction 86 Contextualized Query Embeddings for Conversational Search (2021) Conversational Search and Retrieval 84 Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting (2021) Conversational Search and Retrieval 72 Chatty Goose: A Python Framework for Conversational Search (2021) Conversational Search and Retrieval Corby Rosset
50
72 Contextual Re-Ranking with Behavior Aware Transformers (2020) Conversational Search and Retrieval 71 Zero-shot Clarifying Question Generation for Conversational Search (2023) Conversational and Session Search 46 Generic Intent Representation in Web Search (2019) Text Embedding and Representation Learning |
Kam-Fai Wong 59
81 UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval (2024) Conversational Search and Retrieval 72 JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning (2024) Conversational Search and Retrieval 72 Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models (2023) Conversational Search and Retrieval |
| Reconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning
sigir26-171 · China
2/3
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83 |
100 Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval 76 Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets (2025) Multimodal Retrieval and Embedding 76 WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling (2025) Multimodal Retrieval and Embedding Haokun Wen
72
76 FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval 76 Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval (2024) Universal Multimodal Embedding and MLLM Retrieval 76 Pseudo Triplet Guided Few-shot Composed Image Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval |
Xiaoye Qu 46
100 CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling (2025) Universal Multimodal Embedding and MLLM Retrieval 54 Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation (2025) Knowledge Conflict and Faithfulness 53 SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information (2024) Evidence Selection and Context Refinement |
| RecPFN: Prior-Fitted Networks for In-Context-Based Recommendations
sigir26-172 · Germany
|
64 |
100 MESA: Plugin Meta-Modulation for Transformer-Based Cold-Start Sequential Recommendation (2026) Sequential Recommendation with User Modeling and Profiling 74 A Preference Learning Decoupling Framework for User Cold-Start Recommendation (2023) Meta-Learning for Cold-Start Recommendation 74 Adaptive Continual Learning with User-Incremental Forward Compatibility for Meta-Augmented Cold-Start Recommenders (2026) Meta-Learning for Cold-Start Recommendation 100 Sequential Recommendation for Cold-start Users with Meta Transitional Learning (2021) Sequential Recommendation with User Modeling and Profiling 74 Recurrent Recommendation with Local Coherence (2019) Sequential Recommendation with User Modeling and Profiling 63 A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists (2019) Efficient and Long-Sequence Sequential Recommendation 100 Sequential Recommendation for Cold-start Users with Meta Transitional Learning (2021) Sequential Recommendation with User Modeling and Profiling 66 Consistency-Aware Recommendation for User-Generated Item List Continuation (2020) Multimodal Recommendation for Domain Applications 55 Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation (2020) Content and Attribute-Based Cold-Start Recommendation |
Leyu Lin 53
70 Personalized Transfer of User Preferences for Cross-domain Recommendation (2022) Domain Adaptation and Disentangled Representation for CDR 70 Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users (2021) Domain Adaptation and Disentangled Representation for CDR 63 Personalized Prompt for Sequential Recommendation (2024) Sequential and Session-based Recommendation |
| Recursive Short-to-Long Generalization for Multi-hop Reasoning
sigir26-173 · China
2/3
|
58 |
Adam Jatowt
58
73 Inferential Question Answering (2026) Multi-hop and Complex Reasoning QA 73 Wrong Answers Can Also Be Useful: PlausibleQA - A Large-Scale QA Dataset with Answer Plausibility Scores (2025) Multi-hop and Complex Reasoning QA 73 Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models (2023) Multi-hop and Complex Reasoning QA Ori Yoran
49
100 Answering Questions by Meta-Reasoning over Multiple Chains of Thought (2023) Reasoning-Intensive Retrieval and Ranking 62 Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills (2022) Multi-hop and Complex Reasoning QA 60 Making Retrieval-Augmented Language Models Robust to Irrelevant Context (2024) Evidence Selection and Context Refinement |
46 Search-o1: Agentic Search-Enhanced Large Reasoning Models (2025) Agentic and Deep Search RAG 45 UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models (2024) Generative Retrieval 45 WebThinker: Empowering Large Reasoning Models with Deep Research Capability (2025) Agentic and Deep Search RAG |
| RULER: Robust Unified LLM-based Efficient Retrieval for Legal Information
sigir26-174 · China, United States
2/3
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50 |
47 ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability (2026) LLM-Based Reranking 46 S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data (2023) Web-Scale Learning to Rank 45 MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (2023) Web-Scale Learning to Rank Tingyu Song
40
51 IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval (2025) User Behavior and Search Interaction 43 LimRank: Less is More for Reasoning-Intensive Information Reranking (2025) Evidence Selection and Context Refinement 37 Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems (2026) Reasoning-Intensive Retrieval and Ranking |
66 Word-Entity Duet Representations for Document Ranking (2017) Entity Linking and Alignment 64 Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion (2024) Cross-Encoder and Neural Reranking 50 EsdRank: Connecting Query and Documents through External Semi-Structured Data (2015) Entity Linking and Alignment |
| SciCheck: Reasoning Distillation for Biomedical Claim Verification
sigir26-175 · Brazil
|
66 |
64 FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation (2025) Automated Fact Checking and Claim Verification 64 Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding (2024) Automated Fact Checking and Claim Verification 32 From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models (2026) Reward Modeling and Process Supervision 73 Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification (2025) RAG for Domain Applications 71 Combining Evidence and Reasoning for Biomedical Fact-Checking (2025) Automated Fact Checking and Claim Verification 66 SOLVE-Med: Specialized Orchestration for Leading Vertical Experts Across Medical Specialties (2025) Retrieval-Augmented and Open-Domain QA Qisheng Hu
56
64 Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification (2026) Automated Fact Checking and Claim Verification 64 Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance? (2025) Automated Fact Checking and Claim Verification 47 Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance (2025) Multi-hop and Complex Reasoning QA |
69 CiteGuard: Faithful Citation Attribution for LLMs via Retrieval-Augmented Validation (2026) Knowledge Conflict and Faithfulness 64 NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge (2022) Automated Fact Checking and Claim Verification 40 Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement (2025) Personalized Question Answering and RAG |
| SmartSearch: Process Reward-Guided Query Refinement for Search Agents
sigir26-176 · China
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60 |
65 AdaRewriter: Unleashing the Power of Prompting-based Conversational Query Reformulation via Test-Time Adaptation (2025) Query Reformulation and Expansion 65 AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment (2025) Query Reformulation and Expansion 51 WebDancer: Towards Autonomous Information Seeking Agency (2025) Deep Research and Report Generation 50 Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs (2025) Reward Modeling and Process Supervision 50 Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs (2024) Reward Modeling and Process Supervision 45 MetaQA: Combining Expert Agents for Multi-Skill Question Answering (2023) Retrieval-Augmented and Open-Domain QA 50 Parallel Test-Time Scaling for Latent Reasoning Models (2026) Reward Modeling and Process Supervision 50 TokenSkip: Controllable Chain-of-Thought Compression in LLMs (2025) Reward Modeling and Process Supervision 50 SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration (2025) Reward Modeling and Process Supervision |
Dacheng Tao 50
57 Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning (2025) Reward Modeling and Process Supervision 55 SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data (2025) RL Training of Search Agents 55 R1-VL: Learning to Reason with Multimodal Large Language Models via Step-Wise Group Relative Policy Optimization (2025) Multimodal Reasoning and Grounding |
| SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation
sigir26-177 · China
|
64 |
Bo Chen 0023
64
85 Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation (2026) Sequential and Session-based Recommendation 79 ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation (2024) Sequential and Session-based Recommendation 65 Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models (2024) Knowledge Infusion and Open-World Augmentation 63 Large Language Models are Zero-Shot Rankers for Recommender Systems (2024) Efficiency and Deployment 63 Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis (2025) Efficiency and Deployment 54 Frequency-Augmented Mixture-of-Heterogeneous-Experts Framework for Sequential Recommendation (2025) Sequential Recommendation with User Modeling and Profiling Min Hou 0004
51
86 WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging (2026) Efficiency and Deployment 63 RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation (2026) Preference Alignment and Optimization 52 STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation (2020) Graph Neural Network Architectures for CF |
63 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation 63 SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation (2026) Sequential and Session-based Recommendation 63 Empowering Denoising Sequential Recommendation with Large Language Model Embeddings (2025) Sequential and Session-based Recommendation |
| SRAG: A Lightweight and Specialized Retrieval-augmented Generation System at the Edge
sigir26-178 · China, United States
2/3
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65 |
82 Activation Caching for Retrieval-Augmented Generation (2026) Efficient and Long-Context RAG 49 The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG (2026) Efficient and Long-Context RAG 47 Latent Retrieval Augmented Generation (2026) Efficient and Long-Context RAG 55 Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval (2023) Efficient Retrieval and Indexing 53 Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task (2025) Efficient and Long-Context RAG 47 RetroLM: Retrieval-Augmented KVs for Long-Context Processing (2026) Efficient and Long-Context RAG |
Hongjin Qian 51
47 RetroLM: Retrieval-Augmented KVs for Long-Context Processing (2026) Efficient and Long-Context RAG 47 MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation (2025) Efficient and Long-Context RAG 47 Boosting Long-Context Information Seeking via Query-Guided Activation Refilling (2025) Efficient and Long-Context RAG |
| STRIDE: Strategic Iterative Decision-Making for Retrieval-Augmented Multi-Hop Question Answering
sigir26-179 · China, United States
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59 |
87 SportReason: Evaluating Retrieval-Augmented Reasoning across Tables and Text for Sports Question Answering (2025) Multi-Hop and Iterative Retrieval Reasoning 64 Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation (2021) Dense Bi-Encoder Training and Representation Learning 62 TaPERA: Enhancing Faithfulness and Interpretability in Long-Form Table QA by Content Planning and Execution-based Reasoning (2024) Multi-hop and Complex Reasoning QA Ori Yoran
52
74 Making Retrieval-Augmented Language Models Robust to Irrelevant Context (2024) Evidence Selection and Context Refinement 67 MultiModalQA: complex question answering over text, tables and images (2021) Multimodal and Cross-Modal Retrieval › Others 63 Answering Questions by Meta-Reasoning over Multiple Chains of Thought (2023) Reasoning-Intensive Retrieval and Ranking Jinheon Baek
48
62 Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks (2023) Retrieval-Augmented and Open-Domain QA 60 Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity (2024) Multi-Hop and Iterative Retrieval Reasoning 59 Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement (2023) Conversational Search and Retrieval |
57 RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation (2025) Agentic and Deep Search RAG 56 UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models (2024) Generative Retrieval 56 Search-o1: Agentic Search-Enhanced Large Reasoning Models (2025) Agentic and Deep Search RAG |
| StructAlign: Structured Cross-Modal Alignment for Continual Text-to-Video Retrieval
sigir26-180 · China
2/3
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71 |
Linchao Zhu
64
100 Align and Tell: Boosting Text-Video Retrieval With Local Alignment and Fine-Grained Supervision (2023) Video and Moment Retrieval 100 Stitching Segments and Sentences towards Generalization in Video-Text Pre-training (2024) Video and Moment Retrieval 100 DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval (2024) Video and Moment Retrieval Zhe Xu 0009
46
100 Point-Supervised Video Temporal Grounding (2023) Video and Moment Retrieval 100 HiSA: Hierarchically Semantic Associating for Video Temporal Grounding (2022) Video and Moment Retrieval 100 Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization (2024) Video and Moment Retrieval |
100 Maskable Retentive Network for Video Moment Retrieval (2024) Video and Moment Retrieval 100 Video Moment Retrieval With Cross-Modal Neural Architecture Search (2022) Video and Moment Retrieval 100 Video Corpus Moment Retrieval With Query-Specific Context Learning and Progressive Localization (2025) Video and Moment Retrieval |
| SynDiSC: High-Quality Tabular Data Synthesis with Distributional and Semantic Consistency
sigir26-181 · China
|
79 |
100 Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models (2025) Others 100 Correcting Large Language Model Behavior via Influence Function (2025) Others 100 Uncertainty-penalized reinforcement learning from human feedback with diversified reward LoRA ensembles (2026) Others Fangzhou Yao
67
100 BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling (2025) Others 100 Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm (2024) Others 100 Exploiting Non-Interactive Exercises in Cognitive Diagnosis (2023) Others 100 Dual Discrepancy-Based Continuation Learning for Hybrid Supervised Multi-View 3D Object Detection (2025) Others 19 Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens (2025) Advertising and Auction Mechanisms 19 Marketing Hosting: From Fixed to Endogenous Budgets (2026) Advertising and Auction Mechanisms |
Ge Li 0001 78
100 Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models (2024) Others 100 CodeScore: Evaluating Code Generation by Learning Code Execution (2025) Others 100 Saber: Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model in Code Generation (2026) Others |
| TAR: Generative Auto-Bidding and Budget Pacing via Multi-Scale Trajectory Modeling
sigir26-182 · China
2/3
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100 |
Ching Law
44
100 Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification (2026) Advertising and Auction Mechanisms 63 AutoPP: Towards Automated Product Poster Generation and Optimization (2026) Advertising and Auction Mechanisms 62 SMTIR: Scenario-Aware Multi-Trigger Induction Network for CTR Prediction (2025) Advertising and Auction Mechanisms Xialong Liu
44
100 ZIPBid: Hierarchical Zero-shot Incremental Spend Planning for Auto-bidding (2026) Advertising and Auction Mechanisms 100 R&F-Inventory: A Large-Scale Dataset for Monotonic Inventory Estimation in Reach and Frequency Advertising (2026) Advertising and Auction Mechanisms 63 Expert-Guided Diffusion Planner for Auto-Bidding (2025) Advertising and Auction Mechanisms |
28 Vertical selection in the presence of unlabeled verticals (2010) Personalized and Context-Aware Retrieval 28 Learning to aggregate vertical results into web search results (2011) Personalized and Context-Aware Retrieval 28 Sources of evidence for vertical selection (2009) Personalized and Context-Aware Retrieval |
| Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models
sigir26-183 · United States
2/3
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59 |
71 Theory and Toolkits for User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System Evaluation (2025) User Simulation for Interactive Systems 71 UXSim: Towards a Hybrid User Search Simulation (2025) User Simulation for Interactive Systems 71 Simulation of Interactive Information Retrieval: A Guided Tour (2026) User Simulation for Interactive Systems 71 Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs (2026) Efficiency and Deployment 44 CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent (2024) Preference Alignment and Optimization 43 Continuous-time Discrete-space Diffusion Model for Recommendation (2026) Diffusion and Flow Recommenders |
Pengyue Jia 48
75 Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing (2026) User Simulation for Interactive Systems 60 Prompt Tuning as User Inherent Profile Inference Machine (2025) Efficiency and Deployment 57 Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends (2025) Efficiency and Deployment |
| Scaling Laws for Embedding Dimension in Information Retrieval
sigir26-184 · United States
2/3
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49 |
87 Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction (2022) Dense Bi-Encoder Training and Representation Learning 87 A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval (2022) Dense Bi-Encoder Training and Representation Learning 73 PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval (2021) Sparse and Dense Retrieval Encoders Venktesh V
43
87 TagRec++: Hierarchical Label Aware Attention Network for Question Categorization (2024) Text Embedding and Representation Learning 87 Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms (2023) Text Embedding and Representation Learning 87 TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy (2021) Text Embedding and Representation Learning |
53 Unsupervised Dense Retrieval Training with Web Anchors (2023) Sparse and Dense Retrieval Encoders 52 Generic Intent Representation in Web Search (2019) User Behavior and Search Interaction 48 COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning (2022) Sparse and Dense Retrieval Encoders |
| Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking
sigir26-185 · China, Singapore
|
54 |
Daiting Shi
54
68 TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy (2025) LLM-Based Reranking 48 ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework (2026) Reward Modeling and Process Supervision 48 ConsistRM: Improving Generative Reward Models via Consistency-Aware Self-Training (2026) Reward Modeling and Process Supervision 89 ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability (2026) LLM-Based Reranking 85 TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy (2025) Reasoning-Intensive Retrieval and Ranking 74 Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents (2023) Reasoning-Intensive Retrieval and Ranking 48 AdaMCoT: Rethinking Cross-Lingual Factual Reasoning Through Adaptive Multilingual Chain-of-Thought (2026) Reward Modeling and Process Supervision 48 Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing (2024) Reward Modeling and Process Supervision 46 SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization (2022) Cross-Encoder and Neural Reranking |
Xiaoxue Zang 42
67 ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding (2025) Multi-Hop and Iterative Retrieval Reasoning 41 LargePiG for Hallucination-Free Query Generation: Your Large Language Model is Secretly a Pointer Generator (2025) Query Reformulation and Expansion 40 QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors (2026) Evidence Selection and Context Refinement |
| TimelineReasoner: Advancing Timeline Summarization with Large Reasoning Models
sigir26-186 · China
|
55 |
Yu Gu 0016
50
68 Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge (2025) Deep Research and Report Generation 68 Few-shot In-context Learning on Knowledge Base Question Answering (2023) Multi-hop and Complex Reasoning QA 68 Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments (2023) Knowledge Graph Question Answering Ori Yoran
48
74 Answering Questions by Meta-Reasoning over Multiple Chains of Thought (2023) Reasoning-Intensive Retrieval and Ranking 66 Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills (2022) Multi-hop and Complex Reasoning QA 57 Making Retrieval-Augmented Language Models Robust to Irrelevant Context (2024) Evidence Selection and Context Refinement Xi Ye 0003
45
70 Connecting Attributions and QA Model Behavior on Realistic Counterfactuals (2021) Multi-hop and Complex Reasoning QA 68 Beyond Single-shot Writing: Deep Research Agents are Unreliable at Multi-turn Report Revision (2026) Deep Research and Report Generation 68 RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering (2022) Knowledge Graph Question Answering |
47 BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models (2025) Retrieval-Augmented and Open-Domain QA 46 DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models (2024) Multi-Hop and Iterative Retrieval Reasoning 46 Retrieval is NOT always needed: Exploring the timing of retrieval in dynamic retrieval-augmented generation (2027) Multi-Hop and Iterative Retrieval Reasoning |
| Tokens to Types: Context Editing with Selective Entity Abstraction for Grounded Generation
sigir26-187 · United States
2/3
|
42 |
Di Wu 0054
40
100 Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation (2024) Knowledge Conflict and Faithfulness 37 LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory (2025) Conversational Search and Retrieval 35 Repoformer: Selective Retrieval for Repository-Level Code Completion (2024) Efficient and Long-Context RAG 65 How Does Memorization Impact LLMs' Social Reasoning? An Assessment using Seen and Unseen Queries (2025) Knowledge Conflict and Faithfulness 40 Learning to Reason for Multi-Step Retrieval of Personal Context in Personalized Question Answering (2026) Personalized Question Answering and RAG 30 AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach (2024) Fairness Metrics and Evaluation |
73 RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation (2025) Agentic and Deep Search RAG 44 CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks (2024) Generative Retrieval 44 RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation (2025) Generative Retrieval |
| Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learning
sigir26-188 · China, United States
|
66 |
Wonduk Seo
66
75 Automated Visualization Code Synthesis via Multi-path Reasoning and Feedback-Driven Optimizations (2026) Reasoning Evaluation and Benchmarks 64 SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science (2026) Multi-Agent and Tool-Use Orchestration 31 A New Query Expansion Approach for Enhancing Information Retrieval via Agent-Mediated Dialogic Inquiry (2026) Query Reformulation and Expansion Kaixin Ma
56
75 DSBench: How Far Are Data Science Agents from Becoming Data Science Experts? (2025) Reasoning Evaluation and Benchmarks 72 Retrieval-augmented GUI Agents with Generative Guidelines (2025) Agentic and Deep Search RAG 64 Knowledge-enhanced Agents for Interactive Text Games (2023) Multi-Agent and Tool-Use Orchestration 62 C-SEO Bench: Does Conversational SEO Work? (2025) Reasoning Evaluation and Benchmarks 54 MetaQA: Combining Expert Agents for Multi-Skill Question Answering (2023) Retrieval-Augmented and Open-Domain QA 49 Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs (2025) Reward Modeling and Process Supervision |
Dacheng Tao 41
64 RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents (2026) Multi-Agent and Tool-Use Orchestration 61 SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data (2025) RL Training of Search Agents 53 Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search (2025) Multimodal Reasoning and Grounding |
| Topic-Specific Classifiers are Better Relevance Judges than Prompted LLMs
sigir26-189 · Germany, United States
2/3
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63 |
Falk Scholer
43
62 On the Use of LLMs for Relevance Labelling (2026) User Behavior and Search Interaction 62 Enhancing Human Annotation: Leveraging Large Language Models and Efficient Batch Processing (2024) User Behavior and Search Interaction 47 TREC: topic engineering exercise (2014) Test Collection Construction and Pooling 54 MAIR: A Massive Benchmark for Evaluating Instructed Retrieval (2024) Evaluation Resources and Tools 45 TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy (2025) Reasoning-Intensive Retrieval and Ranking 43 Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents (2023) Reasoning-Intensive Retrieval and Ranking |
Kam-Fai Wong 36
42 MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models (2025) Multimodal Evaluation and Benchmarks 41 Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models (2023) Conversational Search and Retrieval 41 JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning (2024) Conversational Search and Retrieval |
| Towards Conflict-aware Selective Knowledge Unlearning for Continual Few-shot Knowledge Graph Completion
sigir26-190 · United States
|
79 |
100 Few-shot Link Prediction on Hyper-relational Facts (2024) Knowledge Graph Embedding and Completion 100 Inductive Link Prediction in N-ary Knowledge Graphs (2025) Knowledge Graph Embedding and Completion 100 Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs (2024) Knowledge Graph Embedding and Completion Ben Liu 0002
75
100 Historical facts learning from Long-Short Terms with Language Model for Temporal Knowledge Graph Reasoning (2025) Knowledge Graph Embedding and Completion 100 Neighboring relation enhanced inductive knowledge graph link prediction via meta-learning (2023) Knowledge Graph Embedding and Completion 100 Boosting Pre-trained Language Models for Temporal Knowledge Graph Reasoning via Joint Structure and Recurring Patterns (2025) Knowledge Graph Embedding and Completion Jiapu Wang
64
100 Multi-Concept Representation Learning for Knowledge Graph Completion (2023) Knowledge Graph Embedding and Completion 100 Multi-Level Interaction Based Knowledge Graph Completion (2024) Knowledge Graph Embedding and Completion 100 TDN: Triplet Distributor Network for Knowledge Graph Completion (2023) Knowledge Graph Embedding and Completion |
37 RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation (2025) Agentic and Deep Search RAG 33 WebThinker: Empowering Large Reasoning Models with Deep Research Capability (2025) Agentic and Deep Search RAG 32 Search-o1: Agentic Search-Enhanced Large Reasoning Models (2025) Agentic and Deep Search RAG |
| Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation
sigir26-191 · China
|
68 |
Yimeng Bai
59
52 Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework (2023) Recommendation Systems and Evaluation 52 LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting (2024) Recommendation Systems and Evaluation 45 GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting (2024) Multi-Task and Multi-Objective Optimization 61 An Offline Metric for the Debiasedness of Click Models (2023) User Behavior and Search Interaction 61 Evaluating the Robustness of Click Models to Policy Distributional Shift (2023) User Behavior and Search Interaction 52 SARDINE: Simulator for Automated Recommendation in Dynamic and Interactive Environments (2024) Recommendation Systems and Evaluation Xuanhui Wang
48
70 Revisiting Two-tower Models for Unbiased Learning to Rank (2022) User Behavior and Search Interaction 70 Learning with Sparse and Biased Feedback for Personal Search (2018) User Behavior and Search Interaction 61 Cross-Positional Attention for Debiasing Clicks (2021) User Behavior and Search Interaction |
Ziyi Ye 55
87 EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation (2024) User Behavior and Search Interaction 69 Comparing point-wise and pair-wise relevance judgment with brain signals (2024) User Behavior and Search Interaction 69 Relevance Feedback with Brain Signals (2024) User Behavior and Search Interaction |
| Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
sigir26-192 · China
|
72 |
87 DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers (2025) Universal Multimodal Embedding and MLLM Retrieval 87 REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark (2025) Universal Multimodal Embedding and MLLM Retrieval 17 Paint by Inpaint: Learning to Add Image Objects by Removing Them First (2025) Generative Models for Recommendation and Content › Others Jian Lang
59
74 REDEEMing Modality Information Loss: Retrieval-Guided Conditional Generation for Severely Modality Missing Learning (2025) Universal Multimodal Embedding and MLLM Retrieval 72 Generative Thinking, Corrective Action: User-Friendly Composed Image Retrieval via Automatic Multi-Agent Collaboration (2025) Universal Multimodal Embedding and MLLM Retrieval 72 Echoes in the Feed: Evolution-aware Prompt-augmented Micro-video Popularity Prediction (2025) Universal Multimodal Embedding and MLLM Retrieval Xuhui Sui
52
72 Coarse-to-fine multimodal prototype network for few-shot multimodal relation extraction (2025) Universal Multimodal Embedding and MLLM Retrieval 72 SMIR: Span-based multi-grained information refinement for joint multimodal entity-relation extraction (2026) Universal Multimodal Embedding and MLLM Retrieval 61 Hyperbolic Multimodal Generative Representation Learning for Generalized Zero-Shot Multimodal Information Extraction (2026) Universal Multimodal Embedding and MLLM Retrieval |
Xiaoye Qu 46
74 CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling (2025) Universal Multimodal Embedding and MLLM Retrieval 60 Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation (2025) Knowledge Conflict and Faithfulness 58 Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models (2026) Multimodal Evaluation and Benchmarks |
| Uncertainty Quantification for Retrieval-Augmented Reasoning
sigir26-193 · Netherlands, United States
2/3
|
50 |
Jinheon Baek
45
74 Efficient Real-time Refinement of Language Model Text Generation (2025) Knowledge Conflict and Faithfulness 74 Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity (2024) Multi-Hop and Iterative Retrieval Reasoning 45 Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks (2023) Retrieval-Augmented and Open-Domain QA 74 FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation (2025) Knowledge Conflict and Faithfulness 72 You Don't Need Pre-Built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures (2026) Multi-Hop and Iterative Retrieval Reasoning 46 Cost-efficient Knowledge-based Question Answering with Large Language Models (2024) Multi-hop and Complex Reasoning QA |
74 DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models (2024) Multi-Hop and Iterative Retrieval Reasoning 74 Retrieval is NOT always needed: Exploring the timing of retrieval in dynamic retrieval-augmented generation (2027) Multi-Hop and Iterative Retrieval Reasoning 74 Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis (2025) Knowledge Conflict and Faithfulness |
| Unifying Granularity and Reliability: A Robust and Efficient Framework for Text-based Person Retrieval
sigir26-194 · China, United States
|
84 |
Haokun Wen
84
100 Self-Training Boosted Multi-Factor Matching Network for Composed Image Retrieval (2024) Universal Multimodal Embedding and MLLM Retrieval 100 Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval (2024) Universal Multimodal Embedding and MLLM Retrieval 100 FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval Meiyu Liang
49
100 Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval 100 Knowledge Graph Enhanced Multimodal Transformer for Image-Text Retrieval (2024) Universal Multimodal Embedding and MLLM Retrieval 47 Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval (2025) Cross-Modal Hashing and Quantization 47 Cross-Domain Transfer Hashing for Efficient Cross-Modal Retrieval (2024) Cross-Modal Hashing and Quantization 47 Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing (2024) Cross-Modal Hashing and Quantization 47 Task-adaptive Asymmetric Deep Cross-modal Hashing (2021) Cross-Modal Hashing and Quantization |
Xiaoye Qu 41
76 CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling (2025) Universal Multimodal Embedding and MLLM Retrieval 45 Reducing the Vision and Language Bias for Temporal Sentence Grounding (2022) Video and Moment Retrieval 45 Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval (2023) Video and Moment Retrieval |
| Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
sigir26-195 · Germany, Netherlands
|
60 |
60 Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems (2024) Efficiency and Deployment 60 Reason4Rec: Deliberative User Preference Alignment of Large Language Models for Recommendation (2026) Preference Alignment and Optimization 60 TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation (2023) Preference Alignment and Optimization 63 Large Language Models are Learnable Planners for Long-Term Recommendation (2024) Preference Alignment and Optimization 61 DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems (2025) Preference Alignment and Optimization 61 MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback (2026) Preference Alignment and Optimization 59 Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other? (2024) Recommendation with Search and Ranking 59 Semantic IDs for Joint Generative Search and Recommendation (2025) Recommendation with Search and Ranking 58 Online learning to rank for sequential music recommendation (2019) Search and Recommendation Integration |
Xiaoxue Zang 51
75 When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation (2023) Search and Recommendation Integration 75 UniSAR: Modeling User Transition Behaviors between Search and Recommendation (2024) Search and Recommendation Integration 73 Enhancing Recommendation with Search Data in a Causal Learning Manner (2023) Search and Recommendation Integration |
| Universal Item Tokenization for Transferable Generative Recommendation
sigir26-196 · China, United States
|
61 |
Jinxin Hu
55
86 HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation (2025) Item Tokenization and Semantic IDs 78 MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation (2026) Item Tokenization and Semantic IDs 70 REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems (2026) Item Tokenization and Semantic IDs 75 DiffGRM: Diffusion-based Generative Recommendation Model (2026) Diffusion and Flow Recommenders 66 OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service (2026) Item Tokenization and Semantic IDs 51 FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation (2026) Domain Adaptation and Disentangled Representation for CDR Lichan Hong
52
85 Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations (2024) Item Tokenization and Semantic IDs 76 Recommender Systems with Generative Retrieval (2023) Item Tokenization and Semantic IDs 61 PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations (2026) Generative Recommendation and Item Tokenization |
Xiaoyi Zeng 52
89 MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation (2026) Item Tokenization and Semantic IDs 86 HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation (2025) Item Tokenization and Semantic IDs 70 REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems (2026) Item Tokenization and Semantic IDs |
| When More Reformulations Hurt: Avoiding Drift using Ranker Feedback
sigir26-197 · Germany, Netherlands, Sweden
|
60 |
77 Improving zero-shot retrieval using dense external expansion (2022) Query Reformulation and Expansion 77 Neural Pseudo-Relevance Feedback Models for Sparse and Dense Retrieval (2022) Query Reformulation and Expansion 77 Effective Contrastive Weighting for Dense Query Expansion (2023) Query Reformulation and Expansion 100 Enhanced Retrieval Effectiveness through Selective Query Generation (2024) Query Reformulation and Expansion 100 ReFormeR: Learning and Applying Explicit Query Reformulation Patterns (2026) Query Reformulation and Expansion 74 A Reproducibility Study of LLM-Based Query Reformulation (2026) Query Reformulation and Expansion Falk Scholer
51
100 Query association for effective retrieval (2002) Query Reformulation and Expansion 70 Can Generative LLMs Create Query Variants for Test Collections? An Exploratory Study (2023) Query Reformulation and Expansion 64 Classifying Term Variants in Query Formulation (2025) User Behavior and Search Interaction |
100 Regularizing query-based retrieval scores (2007) Query Reformulation and Expansion 100 Improving relevance feedback in language modeling with score regularization (2008) Query Reformulation and Expansion 50 Vertical selection in the presence of unlabeled verticals (2010) Personalized and Context-Aware Retrieval |
| When Vision Meets Texts in Listwise Reranking
sigir26-198 · Malaysia
2/3
|
66 |
67 Bridging Modalities: Improving Universal Multimodal Retrieval by Multimodal Large Language Models (2025) Universal Multimodal Embedding and MLLM Retrieval 67 Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs (2025) Universal Multimodal Embedding and MLLM Retrieval 66 Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing (2026) Universal Multimodal Embedding and MLLM Retrieval 67 Suit the Remedy to the Retriever: Interpretable Query Optimization with Retriever Preference Alignment for Vision-Language Retrieval (2026) Universal Multimodal Embedding and MLLM Retrieval 67 Imagine with Layout and Sketch: Enhancing Vision-Language Retrieval with Dual-Stream Multi-Modal Query Refinement (2026) Universal Multimodal Embedding and MLLM Retrieval 66 Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning (2026) Universal Multimodal Embedding and MLLM Retrieval |
66 Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion (2024) Cross-Encoder and Neural Reranking 46 Selective Weak Supervision for Neural Information Retrieval (2020) Zero-Shot and Domain Generalization for Retrieval 45 Word-Entity Duet Representations for Document Ranking (2017) Entity Linking and Alignment |
| Why Advanced Encoders Lag on Sparse Retrieval? The Answer and an Approach to Bridging Vocabulary Gaps
sigir26-199 · United States
2/3
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57 |
80 Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction (2022) Sparse and Dense Retrieval Encoders 80 A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval (2022) Sparse and Dense Retrieval Encoders 80 B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval (2021) Sparse and Dense Retrieval Encoders Jingtao Zhan
51
80 Scaling Laws For Dense Retrieval (2024) Sparse and Dense Retrieval Encoders 77 Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval (2024) Sparse and Dense Retrieval Encoders 71 An Analysis of BERT in Document Ranking (2020) Sparse and Dense Retrieval Encoders |
77 Unsupervised Dense Retrieval Training with Web Anchors (2023) Sparse and Dense Retrieval Encoders 74 COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning (2022) Sparse and Dense Retrieval Encoders 49 Selective Weak Supervision for Neural Information Retrieval (2020) Zero-Shot and Domain Generalization for Retrieval |
| A Parametric Memory Head for Continual Generative Retrieval
sigir26-200 · Netherlands
2/3
|
67 |
79 Generative Retrieval via Term Set Generation (2024) Generative Retrieval 79 NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR (2023) Generative Retrieval 79 WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm (2024) Generative Retrieval 79 Exploring Training and Inference Scaling Laws in Generative Retrieval (2025) Generative Retrieval 79 Multiview Identifiers Enhanced Generative Retrieval (2023) Generative Retrieval 65 Learning to Rank in Generative Retrieval (2024) Generative Retrieval |
79 Descriptive and Discriminative Document Identifiers for Generative Retrieval (2025) Generative Retrieval 69 UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models (2024) Generative Retrieval 67 CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks (2024) Generative Retrieval |
| A Voronoi Cell Formulation for Principled Token Pruning in Late-Interaction Retrieval Models
sigir26-201 · France
|
90 |
100 Faster Learned Sparse Retrieval with Block-Max Pruning (2024) Learned Sparse Retrieval Efficiency 100 Scalable K-Means Guided Partitioning for Block-based Sparse Document Retrieval (2026) Learned Sparse Retrieval Efficiency 100 Faster Learned Sparse Retrieval with Guided Traversal (2022) Learned Sparse Retrieval Efficiency 100 Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations (2024) Learned Sparse Retrieval Efficiency 100 Pairing Clustered Inverted Indexes with κ-NN Graphs for Fast Approximate Retrieval over Learned Sparse Representations (2024) Learned Sparse Retrieval Efficiency 100 Effective Inference-Free Retrieval for Learned Sparse Representations (2025) Learned Sparse Retrieval Efficiency 100 Forward Index Compression for Learned Sparse Retrieval (2026) Learned Sparse Retrieval Efficiency 86 Bridging Dense and Sparse Maximum Inner Product Search (2024) Efficient Retrieval and Indexing 76 Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations (2024) Learned Sparse Retrieval Efficiency |
50 Unsupervised Dense Retrieval Training with Web Anchors (2023) Sparse and Dense Retrieval Encoders 48 COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning (2022) Sparse and Dense Retrieval Encoders 45 Aligning Web Query Generation with Ranking Objectives via Direct Preference Optimization (2025) Query Reformulation and Expansion |
| Adaptive Mix Preference Optimization for Generative Recommendation
sigir26-202 · China, Japan
|
66 |
Jizhi Zhang
61
64 Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models (2024) Generative Recommendation and Item Tokenization 62 Learnable Item Tokenization for Generative Recommendation (2024) Item Tokenization and Semantic IDs 61 TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation (2023) Preference Alignment and Optimization Jiancan Wu
58
61 Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization (2025) Preference Alignment and Optimization 61 Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? (2025) Preference Alignment and Optimization 61 AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization (2025) Preference Alignment and Optimization Keqin Bao
51
64 Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models (2024) Generative Recommendation and Item Tokenization 64 A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems (2025) Generative Recommendation and Item Tokenization 61 TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation (2023) Preference Alignment and Optimization |
Kun Gai 49
63 Making Transformer Decoders Better Differentiable Indexers (2025) Recommendation with Search and Ranking 59 Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce (2026) Recommendation with Search and Ranking 57 Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model (2025) Sequential and Session-based Recommendation |
| An Action-Aware Generative Sequence Modeling for Short Video Recommendation
sigir26-203 · China
|
62 |
72 MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever (2025) Multi-Task and Multi-Objective Optimization 62 DiffGRM: Diffusion-based Generative Recommendation Model (2026) Diffusion and Flow Recommenders 60 OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service (2026) Item Tokenization and Semantic IDs 63 When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation (2023) Search and Recommendation Integration 62 Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System (2023) Multi-Behavior and Multi-Interest Sequential Recommendation 62 Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation (2023) Multi-Behavior Recommendation Wei Guo 0006
53
64 Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model (2025) Generative Retrieval and Ranking 61 Multi-Behavior Sequential Transformer Recommender (2022) Multi-Behavior and Multi-Interest Sequential Recommendation 59 Full Retraining, Incremental Fine-tuning, and Hybrid Serving: Model Updating and Serving for Industrial Generative Recommender Systems (2026) Generative Retrieval and Ranking |
Yanan Niu 58
64 Disentangling Long and Short-Term Interests for Recommendation (2022) Contrastive and Self-Supervised Sequential Recommendation 61 Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System (2023) Multi-Behavior and Multi-Interest Sequential Recommendation 61 Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation (2023) Multi-Behavior and Multi-Interest Sequential Recommendation |
| Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems
sigir26-204 · China
2/3
|
47 |
66 A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems (2025) Recommendation Systems and Evaluation 63 On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective (2025) Content-Based Transferable Recommendation 35 Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection (2026) Content-Based Transferable Recommendation Xurong Liang
40
71 Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation (2023) Efficient and Lightweight Graph Collaborative Filtering 47 Lightweight Embeddings with Graph Rewiring for Collaborative Filtering (2025) Graph-based User and Item Representation Learning 47 Lightweight Embeddings for Graph Collaborative Filtering (2024) Graph-based User and Item Representation Learning |
68 Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering (2025) Embedding Compression and Quantization 47 Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing (2024) Efficient Retrieval and Indexing Systems › Others 47 Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation (2022) Graph-based User and Item Representation Learning |
| Balanced Frequency Decoupling: Energy-Aware Multi-Scale Preference Modeling for Sequential Recommendation
sigir26-205 · China, United States
2/3
|
63 |
Bo Peng 0009
63
100 $\mathop {\mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation (2022) Sequential Recommendation with User Modeling and Profiling 100 HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract) (2023) Sequential Recommendation with User Modeling and Profiling 72 M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation (2023) Efficient and Long-Sequence Sequential Recommendation Fei Sun 0001
59
100 XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender System (2022) Sequential Recommendation with User Modeling and Profiling 84 SDM: Sequential Deep Matching Model for Online Large-scale Recommender System (2019) Multi-Behavior and Multi-Interest Sequential Recommendation 74 Intent Preference Decoupling for User Representation on Online Recommender System (2020) Sequential Recommendation with User Modeling and Profiling |
Yanan Niu 51
61 Disentangling Long and Short-Term Interests for Recommendation (2022) Contrastive and Self-Supervised Sequential Recommendation 60 Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation (2023) Multi-Behavior and Multi-Interest Sequential Recommendation 60 Dual-interest Factorization-heads Attention for Sequential Recommendation (2023) Multi-Behavior and Multi-Interest Sequential Recommendation |
| Benchmarking Filtered Approximate Nearest Neighbor Search Algorithms on Transformer-based Embedding Vectors
sigir26-206 · Switzerland
2/3
|
46 |
Xiangyu Ke
46
100 Maximum Inner Product is Query-Scaled Nearest Neighbor (2025) Approximate Nearest Neighbor Search 100 Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities (2025) Approximate Nearest Neighbor Search 100 Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search (2025) Approximate Nearest Neighbor Search Amir Ingber
40
100 An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors (2024) Approximate Nearest Neighbor Search 100 Results of the Big ANN: NeurIPS'23 competition (2025) Approximate Nearest Neighbor Search 72 Bridging Dense and Sparse Maximum Inner Product Search (2024) Approximate Nearest Neighbor Search |
38 Embedding in Recommender Systems: A Survey (2026) Efficient and Lightweight Graph Collaborative Filtering 33 Rethinking Semantic-Collaborative Integration: Why Alignment Is Not Enough (2026) Collaborative-Semantic Representation Alignment 30 GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems (2025) Efficient and Long-Sequence Sequential Recommendation |
| Beyond the Single Path: Divergent Reasoning for LLM-based Recommendation
sigir26-207 · China
2/3
|
58 |
68 Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation (2025) Sequential and Session-based Recommendation 68 Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation (2024) Generative Recommendation and Item Tokenization 53 Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation (2025) Item Tokenization and Semantic IDs Han Li 0005
51
68 Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation (2025) Sequential and Session-based Recommendation 58 Lasso: Large Language Model-based User Simulator for Cross-Domain Recommendation (2025) User Simulation for Interactive Systems 55 OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion (2026) Recommendation with Search and Ranking |
63 Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs (2025) Item Tokenization and Semantic IDs 55 STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation (2025) Graph-Based Sequential and Session Recommendation 53 FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation (2025) Content-Based Transferable Recommendation |
| Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
sigir26-208 · China
|
59 |
67 Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation (2024) Cross-Domain and Cross-Market Sequential Recommendation 61 Cluster-Aware Item Prompt Learning for Session-Based Recommendation (2025) LLM-Enhanced Sequential Recommendation 58 Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer (2022) Graph-Based Sequential and Session Recommendation 58 Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation (2024) Graph Contrastive and Self-Supervised Learning 58 MESA: Plugin Meta-Modulation for Transformer-Based Cold-Start Sequential Recommendation (2026) Sequential Recommendation with User Modeling and Profiling 57 Graph Diffusion-Based Representation Learning for Sequential Recommendation (2024) Sequential and Session-Based Graph Recommendation Riwei Lai
53
74 Proxy-Aware Cross-Domain Sequential Recommendation (2023) Cross-Domain Sequential Recommendation 70 Proxy-enhanced cross-domain sequential recommendation (2025) Cross-Domain and Cross-Market Sequential Recommendation 49 Multi-Faceted Global Item Relation Learning for Session-Based Recommendation (2022) Graph-Based Sequential and Session Recommendation |
Leyu Lin 59
72 Personalized Prompt for Sequential Recommendation (2024) Sequential and Session-based Recommendation 71 Triple Sequence Learning for Cross-domain Recommendation (2024) Cross-Domain Sequential Recommendation 70 Curriculum-scheduled knowledge distillation from multiple pre-trained teachers for multi-domain sequential recommendation (2025) Cross-Domain and Cross-Market Sequential Recommendation |
| Constructing Hard-Positive Query-Document Pairs for Dense Retrieval via Phrase Representativeness
sigir26-209 · China
2/3
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50 |
78 PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval (2021) Sparse and Dense Retrieval Encoders 78 B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval (2021) Sparse and Dense Retrieval Encoders 75 Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction (2022) Dense Bi-Encoder Training and Representation Learning 46 Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing (2024) Cross-Modal Hashing and Quantization 46 Semantics-Reconstructing Hashing for Cross-Modal Retrieval (2020) Cross-Modal Hashing and Quantization 46 Cross-Domain Transfer Hashing for Efficient Cross-Modal Retrieval (2024) Cross-Modal Hashing and Quantization |
58 Unsupervised Dense Retrieval Training with Web Anchors (2023) Sparse and Dense Retrieval Encoders 56 Generic Intent Representation in Web Search (2019) User Behavior and Search Interaction 54 COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning (2022) Sparse and Dense Retrieval Encoders |
| Contrastive Flow Matching for Collaborative Filtering
sigir26-210 · Australia, China
|
60 |
79 Disentangled Contrastive Bundle Recommendation with Conditional Diffusion (2025) Diffusion and Flow Recommenders 53 Graph Diffusive Self-Supervised Learning for Social Recommendation (2024) Social and Group Recommendation 41 Multi-view Semantic Contrastive Alignment for Multimodal Recommendation (2026) Universal Multimodal Embedding and MLLM Retrieval Lantao Hu
54
74 MODEM: Decoupling User Behavior for Shared-Account Video Recommendations on Large Screen Devices (2024) Graph Contrastive and Self-Supervised Learning 73 Soft Contrastive Sequential Recommendation (2024) Contrastive and Self-Supervised Sequential Recommendation 70 Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation (2025) Diffusion and Flow Recommenders Mingdai Yang
45
70 Collaborative Alignment for Recommendation (2024) Graph Contrastive and Self-Supervised Learning 67 Graph-based Alignment and Uniformity for Recommendation (2023) Graph-based User and Item Representation Learning 53 Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning (2023) Social and Group Recommendation |
Leyu Lin 48
72 Multi-view Multi-behavior Contrastive Learning in Recommendation (2022) Graph Contrastive and Self-Supervised Learning 51 Contrastive Cross-domain Recommendation in Matching (2022) Graph Contrastive and Self-Supervised Learning 49 Curriculum-scheduled knowledge distillation from multiple pre-trained teachers for multi-domain sequential recommendation (2025) Cross-Domain and Cross-Market Sequential Recommendation |
| Countering Interest Over-Smoothing: Distilling Latent Factors via Diffusion for Multi-Interest Retrieval
sigir26-211 · China
|
52 |
57 A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys) (2024) Generative Models for Recommendation and Content › Others 57 Tutorial on Recommendation with Generative Models (Gen-RecSys) (2025) Generative Models for Recommendation and Content › Others 55 Neighborhood-Based Collaborative Filtering for Conversational Recommendation (2024) Conversational Recommendation Systems 62 Diffusion-based generative modeling for expert team formation (2026) Diffusion and Flow Recommenders 43 Reviewerly: Modeling the Reviewer Assignment Task as an Information Retrieval Problem (2024) Information Retrieval and Ranking › Others 43 exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem (2025) Information Retrieval and Ranking › Others 43 How Does Memorization Impact LLMs' Social Reasoning? An Assessment using Seen and Unseen Queries (2025) Knowledge Conflict and Faithfulness 40 Enhancing AI Agents with Human Theory of Mind (ToM) for Context-Aware Actions (2025) Search Agents and LLM Reasoning › Others 40 Can LLMs Reason Like Humans? Assessing Theory of Mind Reasoning in LLMs for Open-Ended Questions (2024) Search Agents and LLM Reasoning › Others |
Dacheng Tao 43
42 LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs (2025) Others 42 InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling (2024) Others 42 Representation Surgery for Multi-Task Model Merging (2024) Others |
| Deja Vu in Plots: Leveraging Cross-Session Evidence with Retrieval-Augmented LLMs for Live Streaming Risk Assessment
sigir26-212 · China
|
68 |
58 From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild (2026) Multimodal Fake News Detection 58 Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection (2024) Multimodal Fake News Detection 58 Understand, Refine and Summarize: Multi-View Knowledge Progressive Enhancement Learning for Fake News Video Detection (2025) Multimodal Fake News Detection 59 How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis (2025) Social Media and User Modelling 58 From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild (2026) Multimodal Fake News Detection 58 Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection (2024) Multimodal Fake News Detection Bo Wang 0069
59
65 Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection (2020) Graph Learning for Text-Attributed and Heterogeneous Networks 58 GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse (2026) Multimodal Fake News Detection 58 ExplainHM++: Explainable Harmful Meme Detection With Retrieval-Augmented Debate Between Large Multimodal Models (2026) Multimodal Fake News Detection |
58 InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection (2021) Multimodal Fake News Detection 58 Cross-document Misinformation Detection based on Event Graph Reasoning (2022) Multimodal Fake News Detection 38 CiteGuard: Faithful Citation Attribution for LLMs via Retrieval-Augmented Validation (2026) Knowledge Conflict and Faithfulness |
| Diagnosing and Mitigating Mid-Sequence Degradation in Recommender Systems
sigir26-213 · Australia, China
|
60 |
Riwei Lai
56
77 DAR: Dimension-Adaptive Recommendation with Multi-Granular Noise Control (2025) Robustness to Noise and Distribution Shift 55 Proxy-Aware Cross-Domain Sequential Recommendation (2023) Cross-Domain Sequential Recommendation 55 Proxy-enhanced cross-domain sequential recommendation (2025) Cross-Domain and Cross-Market Sequential Recommendation 77 Dual Test-Time Training for Out-of-Distribution Recommender System (2025) Robustness to Noise and Distribution Shift 54 Cooperative Retriever and Ranker in Deep Recommenders (2023) Recommendation with Search and Ranking 53 Ranking-Based Implicit Regularization for One-Class Collaborative Filtering (2022) Negative Sampling and Loss Functions Hyunsik Yoo
49
77 Generalizable Recommender System During Temporal Popularity Distribution Shifts (2025) Robustness to Noise and Distribution Shift 58 Capturing User Interests from Data Streams for Continual Sequential Recommendation (2026) Efficient and Long-Sequence Sequential Recommendation 54 Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation (2026) Multi-Behavior and Multi-Interest Sequential Recommendation |
Xin Xin 0003 60
100 A Self-Correcting Sequential Recommender (2023) Contrastive and Self-Supervised Sequential Recommendation 100 Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure (2025) Contrastive and Self-Supervised Sequential Recommendation 80 Learning Robust Sequential Recommenders through Confident Soft Labels (2025) Sequential Recommendation with User Modeling and Profiling |
| Efficient Sparse Retrieval with Lightweight Superblock Pruning
sigir26-214 · United States
|
90 |
100 Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations (2024) Learned Sparse Retrieval Efficiency 100 Effective Inference-Free Retrieval for Learned Sparse Representations (2025) Learned Sparse Retrieval Efficiency 100 Pairing Clustered Inverted Indexes with κ-NN Graphs for Fast Approximate Retrieval over Learned Sparse Representations (2024) Learned Sparse Retrieval Efficiency 100 Forward Index Compression for Learned Sparse Retrieval (2026) Learned Sparse Retrieval Efficiency 86 Bridging Dense and Sparse Maximum Inner Product Search (2024) Efficient Retrieval and Indexing 76 Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations (2024) Learned Sparse Retrieval Efficiency Xueguang Ma
65
100 SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes (2023) Learned Sparse Retrieval Efficiency 91 Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes (2023) Learned Sparse Retrieval Efficiency 91 Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations (2021) Learned Sparse Retrieval Efficiency |
50 Unsupervised Dense Retrieval Training with Web Anchors (2023) Sparse and Dense Retrieval Encoders 48 COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning (2022) Sparse and Dense Retrieval Encoders 45 Aligning Web Query Generation with Ranking Objectives via Direct Preference Optimization (2025) Query Reformulation and Expansion |
| Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation
sigir26-215 · United States
2/3
|
72 |
Ke Fei
72
100 Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction (2025) CTR and Conversion Rate Prediction 100 Inverse Contrastive Representation Learning for Post-Click Conversion Rate Estimation (2026) CTR and Conversion Rate Prediction 46 Stable and Adaptive Fusion for Multi-domain Multi-task Recommendation (2026) Multi-Scenario and Multi-Domain CTR Prediction Junwei Pan
56
100 Long-Sequence Recommendation Models Need Decoupled Embeddings (2025) CTR and Conversion Rate Prediction 100 From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models (2025) CTR and Conversion Rate Prediction 100 Understanding the Ranking Loss for Recommendation with Sparse User Feedback (2024) CTR and Conversion Rate Prediction |
Kun Gai 43
72 TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou (2024) CTR and Conversion Rate Prediction 70 MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever (2025) CTR and Conversion Rate Prediction 46 PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement (2023) Long-Term Engagement and Retention Optimization |
| Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation
sigir26-216 · China, Singapore
|
64 |
75 Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation (2025) Sequential and Session-based Recommendation 64 Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation (2024) Generative Recommendation and Item Tokenization 54 Reciprocal Sequential Recommendation (2023) Sequential Recommendation with User Modeling and Profiling 62 MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation (2025) Sequential and Session-based Recommendation 60 Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation (2025) Recommendation with Search and Ranking 55 Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation (2025) Personalized and Conversational RAG 70 Large Language Models Enhanced Collaborative Filtering (2024) LLM-Enhanced Collaborative Filtering 55 Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System (2023) Multi-Behavior and Multi-Interest Sequential Recommendation 55 Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation (2025) Personalized and Conversational RAG |
75 Empowering Denoising Sequential Recommendation with Large Language Model Embeddings (2025) Sequential and Session-based Recommendation 75 SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation (2026) Sequential and Session-based Recommendation 75 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation |
| Generation-Augmented Video Corpus Moment Retrieval
sigir26-217 · China, Singapore
2/3
|
71 |
100 Sequence-Event Semantic Consistent Learning for Text-to-Motion Retrieval (2025) Video and Moment Retrieval 100 Debiased Video-Text Retrieval via Soft Positive Sample Calibration (2023) Video and Moment Retrieval 100 Robust Video-Text Retrieval Via Noisy Pair Calibration (2023) Video and Moment Retrieval Zhe Xu 0009
46
100 Point-Supervised Video Temporal Grounding (2023) Video and Moment Retrieval 100 HiSA: Hierarchically Semantic Associating for Video Temporal Grounding (2022) Video and Moment Retrieval 100 Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization (2024) Video and Moment Retrieval |
Xiaoye Qu 49
100 Rethinking Video Sentence Grounding From a Tracking Perspective With Memory Network and Masked Attention (2024) Video and Moment Retrieval 100 Reducing the Vision and Language Bias for Temporal Sentence Grounding (2022) Video and Moment Retrieval 100 Temporal Sentence Grounding with Relevance Feedback in Videos (2024) Video and Moment Retrieval |
| GIGP+: A CPU-GPU Co-Processing Engine for Multi-Vector Retrieval
sigir26-218 · China
2/3
|
75 |
81 Learning Passage Impacts for Inverted Indexes (2021) Learned Sparse Retrieval Efficiency 81 Improved Learned Sparse Retrieval with Corpus-Specific Vocabularies (2024) Learned Sparse Retrieval Efficiency 76 Scalable K-Means Guided Partitioning for Block-based Sparse Document Retrieval (2026) Learned Sparse Retrieval Efficiency 100 RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval (2025) Learned Sparse Retrieval Efficiency 100 SCBench: A KV Cache-Centric Analysis of Long-Context Methods (2025) Learned Sparse Retrieval Efficiency 100 RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference (2026) Learned Sparse Retrieval Efficiency |
Xiaoyi Zeng 36
40 REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems (2026) Item Tokenization and Semantic IDs 40 Embedding-based Product Retrieval in Taobao Search (2021) Recommendation with Search and Ranking 38 CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval (2025) Efficient Retrieval and Indexing |
| Hierarchical Cluster-based Open-World Graph Active Learning
sigir26-219 · Australia, China
2/3
|
48 |
Xubin Ren
47
100 How Expressive are Graph Neural Networks in Recommendation? (2023) Graph-based User and Item Representation Learning 77 Disentangled Contrastive Collaborative Filtering (2023) Graph Contrastive and Self-Supervised Learning 53 SSLRec: A Self-Supervised Learning Framework for Recommendation (2024) Graph Contrastive and Self-Supervised Learning 100 Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation (2024) Graph-based User and Item Representation Learning 53 Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating (2023) Graph Contrastive and Self-Supervised Learning 53 Learning Strong Graph Neural Networks with Weak Information (2023) Graph Contrastive and Self-Supervised Learning |
Qiaoyu Tan 39
100 Gradient Rewiring for Editable Graph Neural Network Training (2024) Graph-based User and Item Representation Learning 53 Graph Contrastive Learning With Personalized Augmentation (2024) Graph Contrastive and Self-Supervised Learning 49 GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (2024) Graph Contrastive and Self-Supervised Learning |
| HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction
sigir26-220 · China
2/3
|
72 |
Ke Fei
72
100 Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction (2025) CTR and Conversion Rate Prediction 100 Inverse Contrastive Representation Learning for Post-Click Conversion Rate Estimation (2026) CTR and Conversion Rate Prediction 46 Stable and Adaptive Fusion for Multi-domain Multi-task Recommendation (2026) Multi-Scenario and Multi-Domain CTR Prediction Junwei Pan
56
100 Long-Sequence Recommendation Models Need Decoupled Embeddings (2025) CTR and Conversion Rate Prediction 100 From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models (2025) CTR and Conversion Rate Prediction 100 AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling (2022) CTR and Conversion Rate Prediction |
Yanan Niu 43
72 TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou (2024) CTR and Conversion Rate Prediction 66 Disentangled Interest Network for Out-of-Distribution CTR Prediction (2026) CTR and Conversion Rate Prediction 46 PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information (2023) Multi-Scenario and Multi-Domain CTR Prediction |
| Inductive Dual-Polarity Modeling via Static-Dynamic Disentanglement for Dynamic Signed Networks
sigir26-221 · China
2/3
|
37 |
100 Confluence: conformity influence in large social networks (2013) Social Media and User Modelling 100 MetaFac: community discovery via relational hypergraph factorization (2009) Social Media and User Modelling 67 Patent partner recommendation in enterprise social networks (2013) Social Media and User Modelling 100 Conditional Cross-Platform User Engagement Prediction (2024) Social Media and User Modelling 24 OpenSiteRec: An Open Dataset for Site Recommendation (2024) Recommendation Systems and Evaluation 20 Optimal Transport Enhanced Cross-City Site Recommendation (2024) Cross-Domain and Cross-Market Sequential Recommendation |
100 Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting (2023) Social Media and User Modelling 100 NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly (2023) Social Media and User Modelling 28 Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement (2025) Personalized Question Answering and RAG |
| Learning from Natural Language Feedback for Personalized Question Answering
sigir26-222 · United States
2/3
|
56 |
73 On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based Method (2023) Conversational Search and Retrieval 72 Learning from the past: answering new questions with past answers (2012) Retrieval-Augmented and Open-Domain QA 72 Will My Question Be Answered? Predicting "Question Answerability" in Community Question-Answering Sites (2013) Retrieval-Augmented and Open-Domain QA 63 Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery (2026) Deep Research and Report Generation 62 Bridging Personalization and AI: From RAG to Agent (2026) Personalized and Conversational RAG 62 A Survey of Personalization: From RAG to Agent (2026) Personalized and Conversational RAG |
Jun Xu 0001 43
56 PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization (2025) Personalized and Conversational RAG 55 Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation (2025) Personalized and Conversational RAG 42 QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors (2026) Evidence Selection and Context Refinement |
| LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation with Dual-phase Training
sigir26-223 · China
|
60 |
Hao Liu 0078
58
82 WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging (2026) Efficiency and Deployment 50 MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation (2024) Domain Adaptation and Disentangled Representation for CDR 49 Mitigating Distribution Shifts in Sequential Recommendation: An Invariance Perspective (2025) Contrastive and Self-Supervised Sequential Recommendation 61 Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation (2024) Cross-Domain and Cross-Market Sequential Recommendation 61 Cluster-Aware Item Prompt Learning for Session-Based Recommendation (2025) LLM-Enhanced Sequential Recommendation 54 Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer (2022) Graph-Based Sequential and Session Recommendation Lingling Yi
48
76 PRECISE: Pre-training and Fine-tuning Sequential Recommenders with Collaborative and Semantic Information (2025) Sequential and Session-based Recommendation 66 TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance (2025) LLM-Derived Knowledge Infusion 49 Item-Provider Co-learning for Sequential Recommendation (2022) Graph Contrastive and Self-Supervised Learning |
Leyu Lin 58
73 Personalized Prompt for Sequential Recommendation (2024) Sequential and Session-based Recommendation 65 Triple Sequence Learning for Cross-domain Recommendation (2024) Cross-Domain Sequential Recommendation 64 Curriculum-scheduled knowledge distillation from multiple pre-trained teachers for multi-domain sequential recommendation (2025) Cross-Domain and Cross-Market Sequential Recommendation |
| MLLMRec: A Preference Reasoning Paradigm with Graph Refinement for Multimodal Recommendation
sigir26-224 · China
2/3
|
46 |
Wei Wei 0027
43
60 LLMRec: Large Language Models with Graph Augmentation for Recommendation (2024) Graph Pretraining and Foundation Models 52 Representation Learning with Large Language Models for Recommendation (2024) Text Embedding and Representation Learning 43 HiGPT: Heterogeneous Graph Language Model (2024) KG-Augmented LLM Reasoning 67 I3-MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation (2025) Multimodal Denoising and Robustness 57 Multimodality Invariant Learning for Multimedia-Based New Item Recommendation (2024) Content and Attribute-Based Cold-Start Recommendation 40 RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors (2026) Robustness to Noise and Distribution Shift |
71 Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation (2025) Multimodal Generative Recommendation 67 Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation (2023) Multimodal Generative Recommendation 53 Boosting Guided Diffusion with Large Language Models for Multimodal Sequential Recommendation (2025) Diffusion and Flow Recommenders |
| Optimizing Marketing Subsidies via Counterfactual Learning with Asymmetric Reward Function
sigir26-225 · China, United States
|
100 |
Yusen Huo
100
100 Generative Auto-bidding via Conditional Diffusion Modeling (2024) Advertising and Auction Mechanisms 100 AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games (2024) Advertising and Auction Mechanisms 100 Sustainable Online Reinforcement Learning for Auto-bidding (2022) Advertising and Auction Mechanisms 100 Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach (2023) Advertising and Auction Mechanisms 100 GAM: A Generative Auto-Marketing Framework in Online E-commerce Platforms (2026) Advertising and Auction Mechanisms 100 Truthful Auctions for Automated Bidding in Online Advertising (2023) Advertising and Auction Mechanisms 100 GAM: A Generative Auto-Marketing Framework in Online E-commerce Platforms (2026) Advertising and Auction Mechanisms 100 Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds (2019) Advertising and Auction Mechanisms 100 Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising (2021) Advertising and Auction Mechanisms |
28 Sources of evidence for vertical selection (2009) Personalized and Context-Aware Retrieval 28 Learning to aggregate vertical results into web search results (2011) Personalized and Context-Aware Retrieval 28 Vertical selection in the presence of unlabeled verticals (2010) Personalized and Context-Aware Retrieval |
| PurifAI: Detecting and Fixing Search-Induced Distortions in Web-Augmented LLMs
sigir26-226 · China, Singapore
2/3
|
67 |
68 FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation (2025) Automated Fact Checking and Claim Verification 68 Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding (2024) Automated Fact Checking and Claim Verification 36 From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models (2026) Reward Modeling and Process Supervision 68 Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention (2022) Automated Fact Checking and Claim Verification 68 Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables (2024) Automated Fact Checking and Claim Verification 68 Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks (2024) Automated Fact Checking and Claim Verification |
69 RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation (2025) Agentic and Deep Search RAG 38 Search-o1: Agentic Search-Enhanced Large Reasoning Models (2025) Agentic and Deep Search RAG 37 UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models (2024) Generative Retrieval |
| Search for Coverage: Learning Coverage-Aware Retrieval with Augmented Sub-Question Answerability
sigir26-227 · Netherlands, United States
|
56 |
Keping Bi
53
71 Beyond Relevance: Utility-Centric Retrieval in the LLM Era (2026) Evidence Selection and Context Refinement 57 Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation (2025) Evidence Selection and Context Refinement 49 L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations (2023) Efficient Retrieval and Indexing Systems › Others Daiting Shi
52
57 Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation (2025) Evidence Selection and Context Refinement 50 Pre-trained Language Model-based Retrieval and Ranking for Web Search (2023) Learned Sparse Retrieval Efficiency 48 MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification (2025) Evaluation Metrics and User Models Venktesh V
50
61 The Surprising Effectiveness of Rankers trained on Expanded Queries (2024) Evidence Selection and Context Refinement 55 Reproducing Adaptive Reranking for Reasoning-Intensive IR (2026) Evidence Selection and Context Refinement 54 SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA (2025) Multi-Hop and Iterative Retrieval Reasoning |
73 LTRR: Learning To Rank Retrievers for LLMs (2026) Evidence Selection and Context Refinement 70 MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers (2025) Evidence Selection and Context Refinement 48 Learning to Match using Local and Distributed Representations of Text for Web Search (2017) Dense Bi-Encoder Training and Representation Learning |
| Seeing the Whole Through the Parts: Discovering Objects through Semantic Part Mining in Weak Supervision
sigir26-228 · China
|
79 |
100 Correcting Large Language Model Behavior via Influence Function (2025) Others 100 Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models (2025) Others 100 Uncertainty-penalized reinforcement learning from human feedback with diversified reward LoRA ensembles (2026) Others Yong Li 0004
59
100 Consistency maintenance in real-time collaborative image editing systems (2003) Others 100 Group undo framework and algorithms in real-time collaborative image editing systems (2003) Others 100 PEACE: Towards Efficient Project-Level Efficiency Optimization via Hybrid Code Editing (2025) Others 100 Dual Discrepancy-Based Continuation Learning for Hybrid Supervised Multi-View 3D Object Detection (2025) Others 19 Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens (2025) Advertising and Auction Mechanisms 19 An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising (2025) Advertising and Auction Mechanisms |
Ge Li 0001 78
100 A unified multi-task learning model for AST-level and token-level code completion (2022) Others 100 Learning to Infer API Mappings from API Documents (2017) Others 100 HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position (2024) Others |
| Set-Based Cross-Domain Recommendation
sigir26-229 · South Korea
|
64 |
Hao Liu 0078
64
100 DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation (2024) Domain Adaptation and Disentangled Representation for CDR 86 MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation (2024) Domain Adaptation and Disentangled Representation for CDR 50 WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging (2026) Efficiency and Deployment Jiangxia Cao
64
100 DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation (2022) Domain Adaptation and Disentangled Representation for CDR 100 Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck (2022) Domain Adaptation and Disentangled Representation for CDR 100 Disentangled Representations Learning for Multi-target Cross-domain Recommendation (2023) Domain Adaptation and Disentangled Representation for CDR Yong He 0009
61
100 The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective (2024) Domain Adaptation and Disentangled Representation for CDR 100 Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System (2023) Domain Adaptation and Disentangled Representation for CDR 100 Learning to Select Instance: Simultaneous Transfer Learning and Clustering (2021) Domain Adaptation and Disentangled Representation for CDR |
100 Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation (2022) Domain Adaptation and Disentangled Representation for CDR 100 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation (2024) Domain Adaptation and Disentangled Representation for CDR 76 Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation (2022) Domain Adaptation and Disentangled Representation for CDR |
| SilverTorch: A Unified Model-based System to Democratize Large-Scale Recommendation on GPUs
sigir26-230 · United States
2/3
|
53 |
50 A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems (2025) Recommendation Systems and Evaluation 48 On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective (2025) Content-Based Transferable Recommendation 46 Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection (2026) Content-Based Transferable Recommendation Gyuseok Lee
42
54 Continual Collaborative Distillation for Recommender System (2024) Efficient and Lightweight Graph Collaborative Filtering 32 Capturing User Interests from Data Streams for Continual Sequential Recommendation (2026) Efficient Sequential Recommendation Architectures 24 Harmonic Dataset Distillation for Time Series Forecasting (2026) Others |
Kun Gai 36
84 GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework (2026) Approximate Nearest Neighbor Search 52 Learning Tree-based Deep Model for Recommender Systems (2018) Recommendation with Search and Ranking 33 LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application (2025) Collaborative-Semantic Representation Alignment |
| SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation
sigir26-231 · South Korea, United States
|
68 |
77 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation 76 Cross-Scale Collaboration between LLMs and Lightweight Sequential Recommenders with Domain-Specific Latent Reasoning (2026) Generative Recommendation and Item Tokenization 63 HIT: Learning a Hierarchical Tree-Based Model with Variable-Length Layers for Recommendation Systems (2023) Efficient and Long-Sequence Sequential Recommendation Min Hou 0004
52
87 WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging (2026) Efficiency and Deployment 64 RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation (2026) Preference Alignment and Optimization 52 Mitigating Distribution Shifts in Sequential Recommendation: An Invariance Perspective (2025) Contrastive and Self-Supervised Sequential Recommendation 84 Language Models as Semantic Augmenters for Sequential Recommenders (2026) Sequential and Session-based Recommendation 57 Consistency-Aware Recommendation for User-Generated Item List Continuation (2020) Multimodal Recommendation for Domain Applications 54 Sequential Recommendation for Cold-start Users with Meta Transitional Learning (2021) Sequential Recommendation with User Modeling and Profiling |
62 STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation (2025) Graph-Based Sequential and Session Recommendation 61 Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs (2025) Item Tokenization and Semantic IDs 60 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation |
| Think with Grounding: Curriculum Reinforced Reasoning with Video Grounding for Long Video Understanding
sigir26-232 · China
2/3
|
61 |
Zihao Yue
61
100 Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding (2025) Multimodal Reasoning and Grounding 100 VideoOrion: Tokenizing Object Dynamics in Videos (2025) Multimodal Reasoning and Grounding 73 Unified Multimodal Understanding via Byte-Pair Visual Encoding (2025) Multimodal Reasoning and Grounding Qingyi Si
45
73 Object Attribute Matters in Visual Question Answering (2024) Multimodal Reasoning and Grounding 73 Check It Again: Progressive Visual Question Answering via Visual Entailment (2021) Multimodal Reasoning and Grounding 66 Cross-modality Multiple Relations Learning for Knowledge-based Visual Question Answering (2024) Knowledge Graph Question Answering |
Xiaoye Qu 43
73 Rethinking Video-Language Model from the Language Input Perspective (2026) Video and Temporal Understanding 55 SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information (2024) Evidence Selection and Context Refinement 39 Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation (2025) Knowledge Conflict and Faithfulness |
| Think, But Don't Tell: Implicit Reasoning for LLM-based Sequential Recommendation via Multi-Teacher Distillation
sigir26-233 · China
|
67 |
Bo Chen 0023
67
79 ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation (2024) Sequential and Session-based Recommendation 79 Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation (2026) Sequential and Session-based Recommendation 71 Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models (2026) Knowledge Infusion and Open-World Augmentation 64 Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis (2025) Efficiency and Deployment 64 Large Language Models are Zero-Shot Rankers for Recommender Systems (2024) Efficiency and Deployment 54 Frequency-Augmented Mixture-of-Heterogeneous-Experts Framework for Sequential Recommendation (2025) Sequential Recommendation with User Modeling and Profiling 85 Language Models as Semantic Augmenters for Sequential Recommenders (2026) Sequential and Session-based Recommendation 54 Consistency-Aware Recommendation for User-Generated Item List Continuation (2020) Multimodal Recommendation for Domain Applications 54 Sequential Recommendation for Cold-start Users with Meta Transitional Learning (2021) Sequential Recommendation with User Modeling and Profiling |
Pengyue Jia 55
76 Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models (2025) Sequential and Session-based Recommendation 76 Prompt Tuning as User Inherent Profile Inference Machine (2025) Efficiency and Deployment 66 SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems (2025) Efficiency and Deployment |