Demo Data from SIGIR 2026 / data
Submissions 233
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Lists (authors, emails, affiliations, countries) are separated by semicolons. Authors and emails are used to find authorship conflicts, countries for the country-diversity option; a country is inferred from an affiliation when it is not given.
| Submission | Authors | Main topics | Best match |
|---|---|---|---|
| A Comparative Study of Users' Information-Seeking Practices Across Search Engines and Generative AI Chatbots
sigir26-001 · Full research paper |
Elsa Lichtenegger, Aleksandra Urman, Aniko Hannak | User Behavior and Search Interacti Interactive Information Seeking an | 75 |
| ACE: Semantically-Grounded Graph Alignment via Affective Contrastive Learning
sigir26-002 · Full research paper |
Potito Aghilar, Sabino Roccotelli, Vito Walter Anelli +3 | Graph Contrastive and Self-Supervi Graph Contrastive and Self-Supervi | 65 |
| Adaptive Rich-kernelized Contrastive Learning for Capacity Enhancement in Collaborative Filtering
sigir26-003 · Full research paper |
Jie Yang, Ling Luo, Nestor Cabello +1 | Graph Contrastive and Self-Supervi | 52 |
| Agentic Spatio-Temporal Grounding via Collaborative Reasoning
sigir26-004 · Full research paper |
Heng Zhao, Yew-Soon Ong, Joey Tianyi Zhou | Video and Moment Retrieval Video and Temporal Understanding Multimodal Reasoning and Grounding | 80 |
| An Epistemic Position-Based Click Model: From Interactions to Epistemic Distributions of Relevance and Bias
sigir26-005 · Full research paper |
Oscar Rolando Ramirez Milian, Harrie Oosterhuis | User Behavior and Search Interacti | 81 |
| An Eye Tracking Study: Are AI Overviews Changing Search Behavior?
sigir26-006 · Full research paper |
Sara Fahad Dawood Al Lawati, Dana McKay, Mark Sanderson +2 | User Behavior and Search Interacti | 81 |
| Aspect-Aware Content-Based Recommendations for Mathematical Research Papers
sigir26-007 · Full research paper |
Ankit Satpute, André Greiner-Petter, Noah Gießing +4 | Knowledge Graph Embedding and Comp Multimodal Recommendation for Doma | 63 |
| Attention Grounded Enhancement for Visual Document Retrieval
sigir26-008 · Full research paper |
Wanqing Cui, Wei Huang, Yazhi Guo +4 | Universal Multimodal Embedding and Cross-Encoder and Neural Reranking Query and Document Representation | 68 |
| BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
sigir26-009 · Full research paper |
Weiqin Yang, Bohao Wang, Zhenxiang Xu +5 | Knowledge Infusion and Open-World Preference Alignment and Optimizat Generative Recommendation and Item | 66 |
| Beyond Exposure Diversity: Debiasing News Consumption With Topic-Locality Calibration and Personalized Preview Nudges
sigir26-010 · Full research paper |
Ruixuan Sun, Matthew Zent, Minzhu Zhao +3 | Popularity Bias and Long-Tail Debi Bias Mitigation Methods | 65 |
| Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
sigir26-011 · Full research paper |
Ruijun Chen, Chongming Gao, Jiawei Chen +2 | Knowledge Infusion and Open-World Preference Alignment and Optimizat | 66 |
| Beyond Static Diffusion: Explicitly Modeling Temporal Patterns in Sequential Recommendation
sigir26-012 · Full research paper |
Yao Wu, Chengyi Liu, Wenqi Fan +1 | Diffusion and Flow Recommenders Contrastive and Self-Supervised Se Sequential Recommendation with Use | 63 |
| Bridging LLM Embeddings and VAE Parameters for Disentangled Recommendation
sigir26-013 · Full research paper |
Nhu-Thuat Tran, Hady W. Lauw | Diffusion and Flow Recommenders Collaborative-Semantic Representat Personalized LLM Adaptation | 63 |
| CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommendation
sigir26-014 · Full research paper |
Yibiao Wei, Jie Zou, Pengfei Zhang +4 | Item Tokenization and Semantic IDs Item Tokenization and Semantic IDs Multimodal Generative Recommendati | 61 |
| CATS: Cluster-Aware Thompson Sampling for Negative Mining in Sequential Recommendation
sigir26-015 · Full research paper |
Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto +1 | Sequential Recommendation with Use | 63 |
| Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation
sigir26-016 · Full research paper |
Peiyang Liu, Ziqiang Cui, Xi Wang +2 | Universal Multimodal Embedding and Multi-Hop and Iterative Retrieval Multimodal and Graph RAG | 70 |
| Cognitive Style Shapes Search Behaviours: An fNIRS Study of Exploratory Search
sigir26-017 · Full research paper |
汤惠民, Boon Giin Lee, Dave Towey +2 | User Behavior and Search Interacti | 81 |
| Cohesive Group Discovery in Interaction Graphs under Explicit Density Constraints
sigir26-018 · Full research paper |
Yu Zhang, Yilong Luo, Mingyuan Ma +4 | Social and Group Graph Recommendat Cross-Domain and Social Graph Reco | 55 |
| CoMCo: Consistency-Aware Multi-Agent Coordination for Zero-Shot Cross-Modal Entity Matching
sigir26-019 · Full research paper |
Shiqi Zhang, Weixin Zeng, Ziheng Zhang +3 | Entity Linking and Alignment Universal Multimodal Embedding and | 63 |
| Corpus-Centric Learning for Zero-Shot Table Retrieval
sigir26-020 · Full research paper |
Zhou He, Zhifei Pang, Xiu Tang +2 | Domain-Specific and Structured Ret Multi-hop and Complex Reasoning QA Retrieval-Augmented and Open-Domai | 61 |
| Cross-Domain Interest Representation Learning for Scenario- and Task-Aware Recommendation
sigir26-021 · Full research paper |
Bokai Lin, Naijun Gao, Yucen Gao +4 | Multi-Domain and Multi-Market Reco Domain Adaptation and Disentangled | 69 |
| DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation
sigir26-022 · Full research paper |
Xinchi Zou, Tongzhenzhi Su, Jianjun Li +4 | Knowledge Graph Embedding and Comp Content-Based Transferable Recomme LLM-Derived Knowledge Infusion | 59 |
| Debiased Multimodal Personality Understanding through Dual Causal Intervention
sigir26-023 · Full research paper |
Yangfu Zhu, Zitong Han, Nianwen Ning +4 | Social Media and User Modelling Bias Mitigation Methods | 48 |
| Decision-Theoretic Stopping Rules for Document Screening
sigir26-024 · Full research paper |
Aaron H. A. Fletcher, Mark Stevenson | Evaluation Metrics and User Models | 74 |
| Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience
sigir26-025 · Full research paper |
Zhongxiang Sun, Qipeng Wang, Weijie Yu +3 | Agentic and Deep Search RAG Deep Research and Report Generatio | 56 |
| Depression Detection from Social Media: A Mutual Guidance Multi-modal Network with Complementary Graph Learning
sigir26-026 · Full research paper |
Guocheng Hu, Chaoqun Zheng, Ruifan Zuo +4 | Social Media and User Modelling | 37 |
| DIAURec: Dual-Intent Space Representation Optimization for Recommendation
sigir26-027 · Full research paper |
Yu Zhang, Yiwen Zhang, Yi Jun Zhang +1 | Graph Contrastive and Self-Supervi Collaborative-Semantic Representat Personalized LLM Adaptation | 54 |
| Discrete Preference Learning for Personalized Multimodal Generation
sigir26-028 · Full research paper |
Yuting Zhang, Ying Sun, Dazhong Shen +6 | Item Tokenization and Semantic IDs Diffusion and Flow Recommenders Preference Alignment and Optimizat | 74 |
| Disentangling from Collaborative and Semantic Views: Graph Collaborative Filtering for Q&A Recommendation
sigir26-029 · Full research paper |
Changshuo Zhang, Teng Shi, Xiao Zhang +4 | Graph Neural Network Architectures Graph Learning for Text-Attributed Graph-based User and Item Represen | 61 |
| Distribution-aware Re-representations for Multi-Scenario Recommendations
sigir26-030 · Full research paper |
Qi Sun, Yulin Xu, Zelin Wang +3 | Multi-Scenario and Multi-Domain CT | 55 |
| Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation
sigir26-031 · Full research paper |
Yuanzi Li, Lingjie Wang, Jingyu Zhao +4 | Sequential Recommendation with Use | 63 |
| Do Simulated Users Need to Remember? Analyzing the Impact of Memory Models in Conversational Search Evaluation
sigir26-032 · Full research paper |
Nailia Mirzakhmedova, Marcel Gohsen, Johannes Kiesel +2 | User Behavior and Search Interacti User Simulation for Interactive Sy | 71 |
| Dual-Diffusional Generative Fashion Recommendation
sigir26-033 · Full research paper |
Mingzhe Yu, Lei Wu, Qianru Sun +1 | Multimodal Recommendation for Doma Multimodal Generative Recommendati Diffusion and Flow Recommenders | 61 |
| FACE: A Fine-Grained Reference-Free Evaluator for Conversational Information Access
sigir26-034 · Full research paper |
Hideaki Joko, Faegheh Hasibi | User Behavior and Search Interacti Interactive Information Seeking an | 75 |
| Factorized Latent Reasoning for LLM-based Recommendation
sigir26-035 · Full research paper |
Tianqi Gao, Chengkai Huang, Zihan Wang +3 | LLM-Based Sequential Recommendatio Preference Alignment and Optimizat Sequential and Session-based Recom | 67 |
| FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation
sigir26-036 · Full research paper |
Woojoo Kim, Junyoung Kim, Jaehyung Lim +3 | Efficient and Long-Sequence Sequen | 62 |
| Formalized Information Needs Improve Large-Language-Model Relevance Judgments
sigir26-037 · Full research paper |
Jüri Keller, Maik Fröbe, Björn Engelmann +4 | LLM-Based Relevance Assessment | 63 |
| Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning for Recommendation
sigir26-038 · Full research paper |
Yuwen Liu, Lianyong Qi, Xucheng Zhou +7 | Graph Contrastive and Self-Supervi Graph Neural Network Architectures Graph Contrastive and Self-Supervi | 66 |
| From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Recommendation
sigir26-039 · Full research paper |
Ziang Lu, Lei Sang, Lin Mu +1 | Diffusion and Flow Recommenders Sequential and Session-based Recom LLM-Derived Knowledge Infusion | 69 |
| From Interference to Stability: Adversarial Reliability Correction for Video Moment Retrieval with Relevance Feedback
sigir26-040 · Full research paper |
Hao Liu, Yupeng Hu, Kun Wang +4 | Video and Moment Retrieval | 71 |
| From Tokens to Concepts: Leveraging SAE for SPLADE
sigir26-041 · Full research paper |
Yuxuan Zong, Mathias Vast, Basile Van Cooten +2 | Sparse and Dense Retrieval Encoder Learned Sparse Retrieval | 57 |
| Generative Bid Shading in Real-Time Bidding Advertising
sigir26-042 · Full research paper |
Yinqiu Huang, Hao Ma, Wenshuai Chen +7 | Advertising and Auction Mechanisms | 100 |
| GNN-based Anchor Embedding for Efficient Subgraph Retrieval
sigir26-043 · Full research paper |
Bin Yang, Jianxiong Ye, Zhaonian Zou | Knowledge Graph Embedding and Comp Approximate Nearest Neighbor Searc | 77 |
| GNN-Based Item Indexing for LLM-Enhanced Recommendation
sigir26-044 · Full research paper |
Senlin Mao, Ji Zhang, Peng Zhang +3 | Graph-based User and Item Represen Generative Recommendation and Item LLM-Derived Knowledge Infusion | 53 |
| Graph Diffusion Gated Embeddings for Recommender Systems
sigir26-045 · Full research paper |
Seungcheol Lee, Taeyoung Roh, Jiho Seo +1 | Graph-based User and Item Represen Efficient and Lightweight Graph Co Embedding Compression and Quantiza | 70 |
| Hierarchical Denoising Entire Space Multi-Task Model for Post-Click Conversion Rate Prediction with Noisy Labels
sigir26-046 · Full research paper |
L G Yan, Haoxuan Li, Tianyu Xia +4 | CTR and Conversion Rate Prediction Multi-Task and Multi-Objective Opt | 79 |
| Hierarchical Embedding Fusion for Retrieval-Augmented Code Generation
sigir26-047 · Full research paper |
Nikita Sorokin, Ivan Sedykh, V. A. Malykh | Learned Sparse Retrieval Efficienc RAG for Domain Applications Efficient and Long-Context RAG | 65 |
| How Far Are We from Automatically Identifying Violations of the Data Minimization Principle in Privacy Policies?
sigir26-048 · Full research paper |
Zhaozheng Zhou, Yanru He, Yunchuan Guo +3 | Fairness Metrics and Evaluation | 100 |
| Improving Interpretability of Cognitive Diagnosis Models with LLM-based Semantic Augmentation
sigir26-049 · Full research paper |
Youheng Bai, Jia‐qi Zheng, Mingliang Hou +5 | Social Media and User Modelling User Profile and Persona Modeling | 41 |
| Inferring Targets from Calibrated Hesitations via Mutual Information Maximization in Multi-Behavior Recommendation
sigir26-050 · Full research paper |
Cheng Li, Yong Xu, Suhua Tang +3 | Multi-Behavior Recommendation Multi-Behavior Recommendation | 52 |
| Internalizing Explicit Reasoning into Latent Space for Dense Retrieval
sigir26-051 · Full research paper |
Jiajie Jin, Yanzhao Zhang, Mingxin Li +4 | Reasoning-Intensive Retrieval and Dense Bi-Encoder Training and Repr Ranking Distillation and Adaptatio | 56 |
| Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval
sigir26-052 · Full research paper |
Valentin Knappich, Anna Hätty, Simon Razniewski +1 | Automated Fact Checking and Claim Domain-Specific and Structured Ret Cross-Encoder and Neural Reranking | 68 |
| Large-Scale Online Learning for Generative List Recommendation in E-commerce: An Environment Policy Optimization Approach
sigir26-053 · Full research paper |
Yuan Wang, Zhiyu Li, Ang Gao +4 | Generative Retrieval and Ranking Long-Term Engagement and Retention Generative Retrieval and Recommend | 57 |
| Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation
sigir26-054 · Full research paper |
Yifan Liu, Yaokun Liu, Zelin Li +4 | Item Tokenization and Semantic IDs Generative Recommendation and Item Collaborative-Semantic Representat | 60 |
| Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment
sigir26-055 · Full research paper |
Yuhang Liu, Minglai Shao, Zengyi Wo +5 | Entity Linking and Alignment Graph Pretraining and Foundation M Graph Learning for Text-Attributed | 62 |
| Learning to Rank with Multi-Criteria LLM-Judge Annotations
sigir26-056 · Full research paper |
Naghmeh Farzi, Laura Dietz | Ranking Losses and Objectives LLM-Based Relevance Assessment | 59 |
| Looking for the Bottleneck in Fine-grained Temporal Relation Classification
sigir26-057 · Full research paper |
Hugo Sousa, Ricardo Campos, Alípio Jorge | Language Model Pre-training and Ad | 62 |
| MCP-Focus: Leveraging Function-Oriented Document Enhancement for MCP Server Retrieval
sigir26-058 · Full research paper |
Wenchun Jing, Haiyang Shen, Haoran Wang +5 | Reasoning Evaluation and Benchmark Domain-Specific and Structured Ret Query and Document Representation | 60 |
| MECI: Multi-Element Collaborative Interaction for Multimodal Entity Linking
sigir26-059 · Full research paper |
Jie Peng, Yongxue Shan, Yongfu Zha +1 | Entity Linking and Alignment Universal Multimodal Embedding and | 63 |
| Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation
sigir26-060 · Full research paper |
Amir Reza Mohammadi, Andreas Peintner, Michael Müller +1 | Explainable and Causal Recommendat Diffusion and Flow Recommenders | 56 |
| Mitigating Adversarial Attacks by Transferring LLM-generated Narrative Reasoning for Robust Fake News Detection
sigir26-061 · Full research paper |
Mengyang Chen, Lingwei Wei, Wei Zhou +1 | Social Media and User Modelling Multimodal Fake News Detection Automated Fact Checking and Claim | 58 |
| Mitigating Evidence Suppression: Bi-level Active Evidence Injection for Educational Video Understanding
sigir26-062 · Full research paper |
Cheng Liu, Yiping Wang, Quanlong Guan +3 | Video and Temporal Understanding Multimodal Evaluation and Benchmar | 82 |
| Mitigating Structural Overfitting: A Distribution-Aware Rectification Framework for Missing Feature Imputation
sigir26-063 · Full research paper |
Yifan Song, Fenglin Yu, Yihong Luo +4 | Graph Anomaly and Out-of-Distribut | 79 |
| Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation
sigir26-064 · Full research paper |
Chunyi Peng, Zhipeng Xu, Zhenghao Liu +7 | Multimodal and Graph RAG Agentic and Deep Search RAG Multimodal Reasoning and Grounding | 63 |
| Multi-Vector Index Compression in Any Modality
sigir26-065 · Full research paper |
Hanxiang Qin, Alexander A. Martin, Rohan Jha +3 | Universal Multimodal Embedding and Learned Sparse Retrieval Efficienc | 72 |
| Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
sigir26-066 · Full research paper |
Yu Wang, Yonghui Yang, Le Wu +3 | Multimodal Generative Recommendati Preference Alignment and Optimizat Sequential and Session-based Recom | 65 |
| MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender
sigir26-067 · Full research paper |
Tongyoung Kim, Soojin Yoon, SeongKu Kang +2 | Generative Retrieval and Ranking Generative Recommendation and Item LLM-Derived Knowledge Infusion | 56 |
| NeuCon-ICE: Neuron-Level Controllable In-Context Editing for Multimodal Large Language Models
sigir26-068 · Full research paper |
Chao Jiang, Jinzhi Liao, Xiang Hui Zhao | Multimodal Evaluation and Benchmar | 70 |
| NeurPIU: Neurobiologically Inspired Personalized Intent Understanding in Large Language Models
sigir26-069 · Full research paper |
Zenghua Liao, Jinzhi Liao, Xiang Hui Zhao | Conversational Search and Retrieva User Profile and Persona Modeling Personalized LLM Adaptation | 61 |
| One-for-All Community Search on Unseen Graphs
sigir26-070 · Full research paper |
Mo Li, Zhaosong Zhao, Linlin Ding +3 | Knowledge Graph Embedding and Comp | 79 |
| OntoEL: Neuro-Symbolic Biomedical Entity Linking with Differentiable Fuzzy EL⊥ Reasoning
sigir26-071 · Full research paper |
Chang Lu, Yizheng Zhao | Entity Linking and Alignment | 64 |
| OPS: An Order-Preserving Sorting Network for Information Retrieval
sigir26-072 · Full research paper |
Chao Wang, Yongxiang Tang, Guikai Luan +5 | Ranking Losses and Objectives | 50 |
| Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment
sigir26-073 · Full research paper |
Jingzhi Li, Zhiyong Cheng, Richang Hong +1 | Popularity Bias and Long-Tail Debi Fairness Metrics and Evaluation | 68 |
| Pretrain-then-Adapt: Uncertainty-Aware Test-Time Adaptation for Text-based Person Search
sigir26-074 · Full research paper |
Jiahao Zhang, Shaofei Huang, Yue Wang +1 | Universal Multimodal Embedding and | 84 |
| ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory
sigir26-075 · Full research paper |
Derong Xu, Y S Chen, Wanyu Wang +9 | Multimodal and Graph RAG Multimodal Retrieval and Embedding Video and Temporal Understanding | 56 |
| ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems
sigir26-076 · Full research paper |
Yi Jun Zhang, Yiwen Zhang, Kai Zheng +2 | Knowledge Infusion and Open-World LLM-Derived Knowledge Infusion User Profile and Persona Modeling | 61 |
| R3Check: Reinforcement Learning for Iterative Retrieval and Structured Reasoning in Complex Fact Checking
sigir26-077 · Full research paper |
Peng Qi, Yuyang Zhao, Wynne Hsu +1 | Automated Fact Checking and Claim RL Training of Search Agents Process and Outcome Reward Design | 71 |
| ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained Alignment
sigir26-078 · Full research paper |
Hao Yang, Yifan Ji, Zhipeng Xu +6 | Universal Multimodal Embedding and Cross-Encoder and Neural Reranking Dense Bi-Encoder Training and Repr | 68 |
| RegionSLM: Region-aware Question Answering on Document Screenshots
sigir26-079 · Full research paper |
Chao Wang, Hehe Fan, Huichen Yang +3 | Universal Multimodal Embedding and Retrieval-Augmented and Open-Domai | 67 |
| RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation
sigir26-080 · Full research paper |
C Wang, Jin Li, Shoujin Wang +3 | Knowledge Graph Embedding and Comp Preference Alignment and Optimizat | 64 |
| Retrieval-Augmented Multimodal Model for Fake News Detection
sigir26-081 · Full research paper |
Yiheng Li, Weihai Lu, Hanyi Yu +1 | Multimodal Fake News Detection Multimodal Evaluation and Benchmar Multimodal Retrieval and Embedding | 73 |
| Revisiting Collaborative Filtering by Unleashing the Power of Similarity
sigir26-082 · Full research paper |
Moran Li, Xiaohe Yue, Chen Chen +3 | Graph Neural Network Architectures | 49 |
| Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
sigir26-083 · Full research paper |
Yuan Li, Jun Hu, Jiaxin Jiang +2 | Graph Contrastive and Self-Supervi Graph Contrastive and Self-Supervi Multimodal Denoising and Robustnes | 74 |
| Same Frequency Begets Shared Interests: Popular-Niche Wavelet Graph Learning for Multimodal Recommendation
sigir26-084 · Full research paper |
Yue He, Hongbo Chen, Jingxi Xie +2 | Graph Contrastive and Self-Supervi Graph Contrastive and Self-Supervi Multimodal Denoising and Robustnes | 74 |
| Selective Constraint Learning for Unsupervised Cross-Domain Image Retrieval
sigir26-085 · Full research paper |
Wensi Fang, Xiaodan Zhang, Xiaoyu Lian +2 | Others | 50 |
| SNBot: Modeling Self-Neighborhood Representation Discrepancy for Social Bot Detection
sigir26-086 · Full research paper |
Qilong Lin, Jingya Zhou | Social Media and User Modelling | 37 |
| Spectral-Adaptive Adversarial Hashing for Robust Image Retrieval
sigir26-087 · Full research paper |
Gang Zhou, Shibiao Xu, Xiaolong Zheng +1 | Cross-Modal Hashing and Quantizati | 100 |
| SSR: Structured Subgraph Retrieval for Temporal Knowledge Graph Question Answering with LLMs
sigir26-088 · Full research paper |
Ying Zhang, Li Zhang, Wenya Guo +2 | Multi-hop and Complex Reasoning QA KG-Augmented LLM Reasoning Knowledge Graph Question Answering | 64 |
| Struct-Align: Zero-Shot Text-to-3D Scene Retrieval via Locality-Aware Structural Alignment
sigir26-089 · Full research paper |
Xiong Li, Yikang Yan, Zhenyu Wen +3 | Video and Moment Retrieval | 71 |
| The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium
sigir26-090 · Full research paper |
Chen Xu, Wei Chu, Wenyu Hu +3 | Fairness Metrics and Evaluation Evaluation Metrics and User Models | 70 |
| Time-Interval-Aware Disentangled Expert Modeling for Next-Basket Recommendation
sigir26-091 · Full research paper |
Zhiying Deng, Yuan Fu, Dr. Usman Farooq +3 | Efficient and Long-Sequence Sequen Sequential Recommendation with Use | 68 |
| TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation
sigir26-092 · Full research paper |
Wei Yang, Rui Fang Zhong, Zihan Lin +4 | Multimodal Denoising and Robustnes Sequential Recommendation with Sid Sequential Recommendation with Use | 55 |
| Towards Knowledgeable Deep Research: Framework and Benchmark
sigir26-093 · Full research paper |
Wenxuan Liu, Zixuan Li, Long Bai +13 | Deep Research and Report Generatio Evidence Selection and Context Ref Agentic and Deep Search RAG | 59 |
| Understanding and Modeling Heterogeneous Search Behavior
sigir26-094 · Full research paper |
Nuha Abu Onq, Chenglong Ma, Mark Sanderson +1 | User Behavior and Search Interacti | 81 |
| Unified Entity Matching under Scarce Supervision via Meta-Rule Induction and Retrieval
sigir26-095 · Full research paper |
Ziheng Zhang, Weixin Zeng, Jiuyang Tang +1 | Entity Linking and Alignment | 64 |
| Unsupervised 2D Image-Based 3D Model Retrieval via Decision Boundary Alignment and Graph Semantic Propagation
sigir26-096 · Full research paper |
Nian Hu, Yibo Zhao, Xinhui Li +3 | Video and Moment Retrieval | 71 |
| Verbalizing LightGCN: Direct Learning of Textual Representations from User-Item Interaction Graph via LLMs
sigir26-097 · Full research paper |
Manh-Khanh Ngo Huu, Hady Wirawan Lauw | LLM-Collaborative Filtering Integr Graph Neural Network Architectures User Profile and Persona Modeling | 53 |
| Verifiable Reasoning for LLM-based Generative Recommendation
sigir26-098 · Full research paper |
Xinyu Lin, Hanqing Zeng, Hanchao Yu +8 | Generative Recommendation and Item Generative Retrieval and Recommend Preference Alignment and Optimizat | 67 |
| Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation
sigir26-099 · Full research paper |
Jinfeng Xu, Zheyu Chen, Shuo Yang +6 | Multimodal Denoising and Robustnes | 41 |
| When and How to Ask: Dynamic Preference Elicitation Strategies for Conversational Recommendation
sigir26-100 · Full research paper |
Feng Xia, Shuo Zhang, Xi Wang | Conversational and Interactive Rec Conversational Recommendation Syst | 52 |
| Adaptive Sparsity Optimization with Learnable Soft Top-K and Per-Term Thresholding for Efficient Retrieval
sigir26-101 · Full research paper |
Wentai Xie, Parker Carlson, Shanxiu He +1 | Learned Sparse Retrieval Efficienc Efficient Retrieval and Indexing Learned Sparse Retrieval | 90 |
| Advantage-Conditioned Flow Policy for Offline Reinforcement Learning in Recommendation
sigir26-102 · Full research paper |
Xiaocong Chen, Siyu Wang, Lina Yao | Diffusion and Flow Recommenders Offline RL for Recommendation | 59 |
| Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests
sigir26-103 · Full research paper |
Jingjie Ning, João Coelho, Yibo Kong +5 | User Behavior and Search Interacti Deep Research and Report Generatio | 68 |
| ARHN: Answer-Centric Relabeling of Hard Negatives with Open-Source LLMs for Dense Retrieval
sigir26-104 · Full research paper |
Hye-Won Choi, Jooyoung Choi, Hansol Jang +4 | Retrieval-Augmented and Open-Domai LLM-Based Reranking Dense Bi-Encoder Training and Repr | 62 |
| AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation
sigir26-105 · Full research paper |
Kaike Zhang, Qi Cao, Fei Sun +3 | Sequential and Session-Based Graph Contrastive and Self-Supervised Se Robustness to Noise and Distributi | 59 |
| Beyond Dense Connectivity: Explicit Sparsity for Scalable Recommendation
sigir26-106 · Full research paper |
Yantao Yu, Sen Qiao, Lei Shen +2 | CTR and Conversion Rate Prediction Efficient Sequential Recommendatio | 68 |
| Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation
sigir26-107 · Full research paper |
Peiyang Liu, Qiang Yan, Ziqiang Cui +3 | Bias Mitigation Methods Evidence Selection and Context Ref Knowledge Conflict and Faithfulnes | 57 |
| Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation
sigir26-108 · Full research paper |
Yimeng Bai, Chang Liu, Yang Zhang +5 | Item Tokenization and Semantic IDs Item Tokenization and Semantic IDs Generative Retrieval and Recommend | 61 |
| Chunk-Wise Quantization for Graph Collaborative Filtering
sigir26-109 · Full research paper |
Kaixi Hu, Peipei Wang, Kaize Shi +4 | Graph-based User and Item Represen Efficient and Lightweight Graph Co Embedding Compression and Quantiza | 70 |
| Consensus-Anchored Expansion for Noise-Resilient Re-ranking
sigir26-110 · Full research paper |
Nischal Subedi, Cencheng Shen | Query Reformulation and Expansion Cross-Encoder and Neural Reranking | 58 |
| Coupling Global Context with Kinematic Evolution for Sequential Recommendation
sigir26-111 · Full research paper |
Yueting Yang, Yao Li, Rongmei Zhao +1 | Sequential Recommendation with Use Contrastive and Self-Supervised Se | 64 |
| Debiased Recommendation Beyond the Positive Propensity Assumption
sigir26-112 · Full research paper |
Yanghao Xiao, Hao Wang, Xiang Li +5 | Popularity Bias and Debiasing in R CTR and Conversion Rate Prediction Popularity Bias and Long-Tail Debi | 69 |
| Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos
sigir26-113 · Full research paper |
Junyu Lu, Deyi Ji, Liqun Liu +9 | Multimodal Fake News Detection Video and Temporal Understanding Multimodal Evaluation and Benchmar | 74 |
| Demand-Calibrated Facet Diversification with Deployable Soft Quotas for E-Commerce Search
sigir26-114 · Full research paper |
Shenghui Xu, Jiang Yu | User Behavior and Search Interacti Personalized and Context-Aware Ret Evaluation Metrics and User Models | 78 |
| Denoise and Align: Diffusion-Driven Foreground Knowledge Prompting for Open-Vocabulary Temporal Action Detection
sigir26-115 · Full research paper |
Sa Zhu, Wanqian Zhang, Lin Wang +3 | Video and Moment Retrieval Video and Temporal Understanding Multimodal Reasoning and Grounding | 80 |
| Diagnosing Identifiability in Two-Tower Models for Unbiased Learning to Rank
sigir26-116 · Full research paper |
Stan Fris, Philipp Hager | User Behavior and Search Interacti Unbiased Learning to Rank | 68 |
| Differentiable Semantic ID for Generative Recommendation
sigir26-117 · Full research paper |
Junchen Fu, Xuri Ge, Alexandros Karatzoglou +4 | Item Tokenization and Semantic IDs Item Tokenization and Semantic IDs | 59 |
| DIGEST: Dynamic Graph Refinement with Dual Contrastive Semantic Transfer for Multimodal Recommendation
sigir26-118 · Full research paper |
Xiangyu Sai, Meysam Madadi, Sérgio Escalera +1 | Graph Contrastive and Self-Supervi Graph Contrastive and Self-Supervi Multimodal Denoising and Robustnes | 74 |
| DLLM-Searcher: Adapting Diffusion Language Model for Efficient Search Agents
sigir26-119 · Full research paper |
Jiahao Zhao, Shaoxuan Xu, Zhongxiang Sun +6 | Efficient and Long-Context RAG Agentic and Deep Search RAG Reward Modeling and Process Superv | 56 |
| DocQAC: Adaptive Trie-Guided Decoding for Effective In-Document Query Auto-Completion
sigir26-120 · Full research paper |
Rahul Mehta, R V Kavin, Indrajit Pal +3 | Query Reformulation and Expansion RAG for Domain Applications | 55 |
| Drift-Aware Incremental Token Adaptation with Collaborative Semantics for Generative Recommendation
sigir26-121 · Full research paper |
Yuebo Feng, Jiahao Liu, Mingzhe Han +5 | Item Tokenization and Semantic IDs Generative Recommendation and Item Efficiency and Deployment | 61 |
| Dynamic Memory Forest: Constructing and Tracing Conversational Trajectories for Long-Term Conversation
sigir26-122 · Full research paper |
Cai Ke, Bin Liang, Xin Liu +3 | Conversational Search and Retrieva | 58 |
| Equity vs. Equality: Optimizing Ranking Fairness for Tailored Provider Needs
sigir26-123 · Full research paper |
Yiteng Tu, Weihang Su, Shuguang Han +2 | Fairness Metrics and Evaluation Evaluation Metrics and User Models | 70 |
| ExDR: Explanation-driven Dynamic Retrieval Enhancement for Multimodal Fake News Detection
sigir26-124 · Full research paper |
Guoxuan Ding, Yuqing Li, Ziyan Zhou +3 | Multimodal Fake News Detection Evidence Selection and Context Ref RAG for Domain Applications | 68 |
| Exploration-and-Thinking: Agentic Reasoning over Knowledge Graphs via an LLM-RL Synergized Framework
sigir26-125 · Full research paper |
Yi Xia, Gang Zhou, Jing Chen +3 | KG-Augmented LLM Reasoning RL Training of Search Agents | 61 |
| Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method
sigir26-126 · Full research paper |
Tianzhe Zhao, Jiaoyan Chen, Shuxiu Zhang +3 | KG-Augmented LLM Reasoning Evidence Selection and Context Ref Knowledge Conflict and Faithfulnes | 64 |
| FAIR-RAG: An End-to-End Framework for Mitigating Political Bias through Fair Retrieval-Augmented Generation
sigir26-127 · Full research paper |
Jaebeom You, Kisung Lee, Hyuk-Yoon Kwon | Knowledge Conflict and Faithfulnes Bias Mitigation Methods | 57 |
| FairSpec: Expert Specialization for Fair LLM-based Recommendation
sigir26-128 · Full research paper |
Yuchen Zheng, Xuan Pan, Jing Wang +5 | Preference Alignment and Optimizat Bias Mitigation Methods | 66 |
| FAVE: Flow-based Average Velocity Establishment for Sequential Recommendation
sigir26-129 · Full research paper |
Ke Shi, Yao Zhang, Feng Guo +4 | Diffusion and Flow Recommenders | 60 |
| FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction
sigir26-130 · Full research paper |
Jun Zhang, Dugang Liu, Xing Jia Tang +2 | Item Tokenization and Semantic IDs CTR and Conversion Rate Prediction Multi-Domain and Multi-Market Reco | 67 |
| FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters
sigir26-131 · Full research paper |
Zhilin Liang, Yuxiang Wang, Zimu Zhou +3 | Efficient and Long-Context RAG | 50 |
| Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders
sigir26-132 · Full research paper |
Jaehyun Lee, Sanghwan Jang, SeongKu Kang +1 | LLM-Derived Knowledge Infusion | 52 |
| Following the Eye-Tracking Evidence: Established Web-Search Assumptions Fail in Carousel Interfaces
sigir26-133 · Full research paper |
Jingwei Kang, Maarten de Rijke, Harrie Oosterhuis | User Behavior and Search Interacti | 81 |
| FollowTable: A Benchmark for Instruction-Following Table Retrieval
sigir26-134 · Full research paper |
Rihui Jin, Yuchen Lu, Ting Zhang +7 | Multi-hop and Complex Reasoning QA Domain-Specific and Structured Ret Evaluation Resources and Tools | 56 |
| From Existence to Exhaustiveness: Unveiling the Compounding Failures of LLMs in Multi-answer Event Temporal Reasoning
sigir26-135 · Full research paper |
Shaojuan Wu | Multi-hop and Complex Reasoning QA | 56 |
| GCA-KBQA: A Step-Wise Logical Form Generation Approach for KBQA with Knowledge-Assisted Calibration
sigir26-136 · Full research paper |
Ranran Bu, Jian Cao, Jianqi Gao +3 | Knowledge Graph Question Answering Multi-hop and Complex Reasoning QA | 60 |
| Generative Auto-Bidding with Unified Modeling and Exploration
sigir26-137 · Full research paper |
Mingming Zhang, Feiqing Zhuang, Na Li +7 | Advertising and Auction Mechanisms | 100 |
| GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items
sigir26-138 · Full research paper |
Chenglei Shen, Teng Shi, Weijie Yu +2 | Generative Retrieval and Ranking Generative Retrieval and Recommend Content and Attribute-Based Cold-S | 56 |
| GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
sigir26-139 · Full research paper |
Yejing Wang, Shengyu Zhou, Jinyu Lu +9 | Generative Retrieval and Ranking Offline RL for Recommendation Generative Retrieval and Recommend | 56 |
| Good Ranks Follow Good Answers: Unsupervised Answer-Driven Reranking for Multimodal Document QA
sigir26-140 · Full research paper |
Keyu Zhu, Shuanghong Shen, Xianquan Wang +4 | Retrieval-Augmented and Open-Domai Ranking Distillation and Adaptatio | 54 |
| HCPRA: A Hierarchical Cognition-Perception-Reasoning Agent Framework for Emotion-Cause Pair Extraction in Conversations
sigir26-141 · Full research paper |
Botao Wang, Lianwei Wu, Shuhan Guo +5 | Others | 79 |
| HiRA: Decoupling Planning and Execution with Hierarchical Reasoning in Deep Search
sigir26-142 · Full research paper |
Jiajie Jin, Xiaoxi Li, Yuyao Zhang +4 | Multi-Hop and Iterative Retrieval Agentic and Deep Search RAG Deep Research and Report Generatio | 58 |
| How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews
sigir26-143 · Full research paper |
Riley Grossman, Songjiang Liu, Michael K. Chen +3 | User Behavior and Search Interacti Evidence Selection and Context Ref | 66 |
| How Variability Influences Podcast Search: Queries, Transcriptions, and Judges
sigir26-144 · Full research paper |
Watheq Ahmad Mansour, J. Shane Culpepper, Andrew Yates +1 | User Behavior and Search Interacti Test Collection Construction and P | 67 |
| Hybrid Pooling with LLMs via Relevance Context Learning
sigir26-145 · Full research paper |
David Otero, Javier Parapar | Test Collection Construction and P LLM-Based Relevance Assessment | 70 |
| Hypergraph Diffusion-Based Sequential Ensemble for CTR Prediction
sigir26-146 · Full research paper |
Zeheng Zhong, Hongzhi Liu, Gong Chen +3 | CTR and Conversion Rate Prediction Diffusion and Flow Recommenders | 69 |
| Incentivizing Retrieval-Augmented Generation via Inner Adaptive Context Selection
sigir26-147 · Full research paper |
Chenxu Cui, Lin Shen, Haihui Fan +3 | Evidence Selection and Context Ref Efficient and Long-Context RAG | 61 |
| Incremental Multi-Behavior Recommendation
sigir26-148 · Full research paper |
Jiahao Gong, Weike Pan | Sequential and Session-Based Graph Multi-Behavior Recommendation Multi-Task and Multi-Objective Opt | 59 |
| Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning
sigir26-149 · Full research paper |
Xiangmeng Wang, Qian Li, Haiyang Xia +3 | Graph Learning for Text-Attributed | 53 |
| IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering
sigir26-150 · Full research paper |
Jieyong Kim, Maryam Amirizaniani, Soojin Yoon +1 | Retrieval-Augmented and Open-Domai Efficiency and Deployment Personalized Question Answering an | 57 |
| Learning to Retrieve from Agent Trajectories
sigir26-151 · Full research paper |
Yuqi Zhou, Sunhao Dai, Changle Qu +3 | Reasoning-Intensive Retrieval and Dense Bi-Encoder Training and Repr Ranking Distillation and Adaptatio | 56 |
| Logit Inflation in ListMLE: Theoretical Analysis and Mitigation Strategies
sigir26-152 · Full research paper |
Riyaz Ahmad Bhat, Jaydeep Sen | Ranking Losses and Objectives | 50 |
| LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation
sigir26-153 · Full research paper |
Lingyu Mu, Hao Deng, Haibo Xing +7 | Generative Retrieval and Recommend Knowledge Infusion and Open-World Generative Recommendation and Item | 63 |
| Mining Informative Interests via Latent Cross Reasoning for Search Enhanced Recommendation
sigir26-154 · Full research paper |
Teng Shi, Weicong Qin, Weijie Yu +4 | Sequential and Session-based Recom Recommendation with Search and Ran Others | 56 |
| Mitigating Bias in Large Language Model Based Question Answering through Causal Front Door Prompting
sigir26-155 · Full research paper |
Yaqi Yang, Ziqi Xu, Jie Li +5 | Multi-hop and Complex Reasoning QA Bias Mitigation Methods | 56 |
| mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA
sigir26-156 · Full research paper |
Xu Yuan, Liangbo Ning, Qingqing Ye +2 | KG-Augmented LLM Reasoning Multimodal and Graph RAG RAG for Domain Applications | 65 |
| Modular Representation Compression: Adapting LLM Representations for Efficient and Effective Recommendation
sigir26-157 · Full research paper |
Yunjia Xi, Menghui Zhu, Jianghao Lin +4 | Text Embedding and Representation Efficiency and Deployment | 51 |
| MUDY: Multi-Granular Dynamic Candidate Contextualization for Unsupervised Keyphrase Extraction
sigir26-158 · Full research paper |
Hyeongu Kang, Susik Yoon | Language Model Pre-training and Ad | 62 |
| Multi-Faceted Continual Knowledge Graph Embedding for Semantic-Aware Link Prediction
sigir26-159 · Full research paper |
Jing Qi, Yuxiang Wang, Zhiyuan Yu +3 | Knowledge Graph Embedding and Comp | 79 |
| Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items
sigir26-160 · Full research paper |
Junting Wang, Chenghuan Guo, Yang Jiao +3 | Multimodal Denoising and Robustnes Multimodal Retrieval and Embedding | 67 |
| Multi-Perspective Driven Expected Location Preferences for Next POI Recommendations
sigir26-161 · Full research paper |
Pengxiang Lan, Enneng Yang, Yuliang Liang +3 | Sequential Recommendation with Use | 63 |
| Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
sigir26-162 · Full research paper |
Shuzhi Gong, Richard Sinnott, Jianzhong Qi +3 | Automated Fact Checking and Claim Multi-Hop and Iterative Retrieval RAG for Domain Applications | 67 |
| NuggetIndex: Governed Atomic Retrieval for Maintainable RAG
sigir26-163 · Full research paper |
Saber Zerhoudi, Michael Granitzer, Jelena Mitrović | Learned Sparse Retrieval Efficienc Evidence Selection and Context Ref Knowledge Conflict and Faithfulnes | 69 |
| NumColBERT: Non-Intrusive Numeracy Injection for Late-Interaction Retrieval Models
sigir26-164 · Full research paper |
Haruki Fujimaki, Makoto P. Kato | Learned Sparse Retrieval Efficienc Domain-Specific and Multilingual D Learned Sparse Retrieval | 74 |
| One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
sigir26-165 · Full research paper |
Hongru Cai, Yongqi Li, Tiezheng Yu +4 | Preference Alignment and Optimizat Personalized LLM Adaptation | 64 |
| PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID
sigir26-166 · Full research paper |
Xiao Wang, Sean MacAvaney, Craig Macdonald | Learned Sparse Retrieval Efficienc Query Reformulation and Expansion Learned Sparse Retrieval | 79 |
| Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems
sigir26-167 · Full research paper |
Yuchuan Zhao, Tong Chen, Junliang Yu +3 | Bias Mitigation Methods Robustness to Noise and Distributi Contrastive and Self-Supervised Se | 67 |
| Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG
sigir26-168 · Full research paper |
Xihang Wang, Zihan Wang, Chengkai Huang +4 | Universal Multimodal Embedding and Evidence Selection and Context Ref Multimodal and Graph RAG | 73 |
| Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation
sigir26-169 · Full research paper |
Yuchen Yan, Peiyan Zhang, Zhihua Liu +4 | KG-Augmented LLM Reasoning Multi-Hop and Iterative Retrieval Multimodal and Graph RAG | 85 |
| Recasting Web-Scale Query Suggestion as dense retrieval: Efficient, Up-to-Date, and Context-Aware Suggestions
sigir26-170 · Full research paper |
Sosuke Nishikawa, Naoki Yoshinaga, Nobuhiro Kaji | Conversational Search and Retrieva Query Reformulation and Expansion Dense Bi-Encoder Training and Repr | 62 |
| Reconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning
sigir26-171 · Full research paper |
Jiahan Chen, Da Li, Hengran Zhang +6 | Universal Multimodal Embedding and Multimodal Retrieval and Embedding | 83 |
| RecPFN: Prior-Fitted Networks for In-Context-Based Recommendations
sigir26-172 · Full research paper |
En Zhi Tan, Jia Xiang Lim, Bryan Lijie Chew +2 | Sequential Recommendation with Use Meta-Learning for Cold-Start Recom | 64 |
| Recursive Short-to-Long Generalization for Multi-hop Reasoning
sigir26-173 · Full research paper |
Mayi Xu, Ke Sun, Jianhao Chen +8 | Reasoning-Intensive Retrieval and Multi-hop and Complex Reasoning QA | 58 |
| RULER: Robust Unified LLM-based Efficient Retrieval for Legal Information
sigir26-174 · Full research paper |
Chenyu Hou, Z B Wang, Bin Cao +3 | Domain-Specific and Structured Ret Cross-Encoder and Neural Reranking | 50 |
| SciCheck: Reasoning Distillation for Biomedical Claim Verification
sigir26-175 · Full research paper |
Gabriel Pereira, Luciano Barbosa | Retrieval-Augmented and Open-Domai Automated Fact Checking and Claim | 66 |
| SmartSearch: Process Reward-Guided Query Refinement for Search Agents
sigir26-176 · Full research paper |
Tongyu Wen, Guanting Dong, Zhicheng Dou | Query Reformulation and Expansion Reward Modeling and Process Superv Process and Outcome Reward Design | 60 |
| SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation
sigir26-177 · Full research paper |
Yu Cui, Feng Liu, Zhaoxiang Wang +4 | Efficiency and Deployment LLM-Enhanced Sequential Recommenda Sequential and Session-based Recom | 64 |
| SRAG: A Lightweight and Specialized Retrieval-augmented Generation System at the Edge
sigir26-178 · Full research paper |
Ruikun Luo, Zihan Xing, Lin Gu +3 | Learned Sparse Retrieval Efficienc RAG for Domain Applications Efficient and Long-Context RAG | 65 |
| STRIDE: Strategic Iterative Decision-Making for Retrieval-Augmented Multi-Hop Question Answering
sigir26-179 · Full research paper |
Wei Chen, Lili Zhao, Zhi Zheng +2 | Multi-Hop and Iterative Retrieval Agentic and Deep Search RAG Retrieval-Augmented and Open-Domai | 59 |
| StructAlign: Structured Cross-Modal Alignment for Continual Text-to-Video Retrieval
sigir26-180 · Full research paper |
Shaokun Wang, Weili Guan, Jizhou Han +3 | Video and Moment Retrieval | 71 |
| SynDiSC: High-Quality Tabular Data Synthesis with Distributional and Semantic Consistency
sigir26-181 · Full research paper |
Fan Wu, Haoye Pan, Hao Wu +3 | Others | 79 |
| TAR: Generative Auto-Bidding and Budget Pacing via Multi-Scale Trajectory Modeling
sigir26-182 · Full research paper |
Liang Shi, Longxiang Xu, Zhengju Tang +3 | Advertising and Auction Mechanisms | 100 |
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sigir26-183 · Full research paper |
Xinye Wanyan, Chenglong Ma, Danula Hettiachchi +2 | User Simulation for Interactive Sy Efficiency and Deployment User Profile and Persona Modeling | 59 |
| Scaling Laws for Embedding Dimension in Information Retrieval
sigir26-184 · Full research paper |
Julian Killingback, Mahta Rafiee, Madine Manas +1 | Text Embedding and Representation Dense Bi-Encoder Training and Repr | 49 |
| Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking
sigir26-185 · Full research paper |
Huizhong Guo, Tianjun Wei, Dongxia Wang +4 | LLM-Based Reranking Reward Modeling and Process Superv Reasoning-Intensive Retrieval and | 54 |
| TimelineReasoner: Advancing Timeline Summarization with Large Reasoning Models
sigir26-186 · Full research paper |
Liancheng Zhang, Xiaoxi Li, Zhicheng Dou | Deep Research and Report Generatio Multi-hop and Complex Reasoning QA | 55 |
| Tokens to Types: Context Editing with Selective Entity Abstraction for Grounded Generation
sigir26-187 · Full research paper |
Rounak Sharma, DEBABRATA MAHAPATRA, Shiv Kumar Saini | Knowledge Conflict and Faithfulnes | 42 |
| Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learning
sigir26-188 · Full research paper |
Guanting Dong, Yifei Chen, Xiaoxi Li +7 | Reasoning Evaluation and Benchmark RL Training of Search Agents Multi-Agent and Tool-Use Orchestra | 66 |
| Topic-Specific Classifiers are Better Relevance Judges than Prompted LLMs
sigir26-189 · Full research paper |
Lukas Gienapp, Martin Potthast, Andrew Yates +2 | LLM-Based Relevance Assessment | 63 |
| Towards Conflict-aware Selective Knowledge Unlearning for Continual Few-shot Knowledge Graph Completion
sigir26-190 · Full research paper |
Junlin Zhu, Bo Fu, Guiduo Duan | Knowledge Graph Embedding and Comp | 79 |
| Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation
sigir26-191 · Full research paper |
Na Li, Jiaqi Yu, Minzhi Xie +8 | User Behavior and Search Interacti Recommendation Systems and Evaluat Multi-Task and Multi-Objective Opt | 68 |
| Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
sigir26-192 · Full research paper |
Chenghao Zhang, Guanting Dong, Xinyu Yang +1 | Multimodal and Graph RAG Universal Multimodal Embedding and | 72 |
| Uncertainty Quantification for Retrieval-Augmented Reasoning
sigir26-193 · Full research paper |
Heydar Soudani, Hamed Zamani, Faegheh Hasibi | Multi-Hop and Iterative Retrieval Knowledge Conflict and Faithfulnes | 50 |
| Unifying Granularity and Reliability: A Robust and Efficient Framework for Text-based Person Retrieval
sigir26-194 · Full research paper |
Jingchen Hao, Jiang Liu, Zhen Peng +4 | Universal Multimodal Embedding and | 84 |
| Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
sigir26-195 · Full research paper |
Jujia Zhao, Zihan Wang, Shuaiqun Pan +2 | Search and Recommendation Integrat Preference Alignment and Optimizat Efficiency and Deployment | 60 |
| Universal Item Tokenization for Transferable Generative Recommendation
sigir26-196 · Full research paper |
Bowen Zheng, Hongyu Lu, Yu Chen +2 | Item Tokenization and Semantic IDs Multi-Domain and Multi-Market Reco Item Tokenization and Semantic IDs | 61 |
| When More Reformulations Hurt: Avoiding Drift using Ranker Feedback
sigir26-197 · Full research paper |
V Venktesh, Mandeep Rathee, Avishek Anand | Query Reformulation and Expansion | 60 |
| When Vision Meets Texts in Listwise Reranking
sigir26-198 · Full research paper |
Hongyi Cai | Universal Multimodal Embedding and Cross-Encoder and Neural Reranking | 66 |
| Why Advanced Encoders Lag on Sparse Retrieval? The Answer and an Approach to Bridging Vocabulary Gaps
sigir26-199 · Full research paper |
Zhichao Geng, Yang Yang | Sparse and Dense Retrieval Encoder Learned Sparse Retrieval | 57 |
| A Parametric Memory Head for Continual Generative Retrieval
sigir26-200 · Full research paper |
Kidist Amde Mekonnen, Yubao Tang, Maarten de Rijke | Generative Retrieval Generative Retrieval Efficiency | 67 |
| A Voronoi Cell Formulation for Principled Token Pruning in Late-Interaction Retrieval Models
sigir26-201 · Full research paper |
Yash Kankanampati, Yuxuan Zong, Nadi Tomeh +2 | Learned Sparse Retrieval Efficienc Efficient Retrieval and Indexing Learned Sparse Retrieval | 90 |
| Adaptive Mix Preference Optimization for Generative Recommendation
sigir26-202 · Full research paper |
Junbo Qi, Yanyan Zou, Xuanhua Yang +3 | Generative Retrieval and Recommend Knowledge Infusion and Open-World Generative Recommendation and Item | 66 |
| An Action-Aware Generative Sequence Modeling for Short Video Recommendation
sigir26-203 · Full research paper |
Wenhao Li, Zihan Lin, Zhengxiao Guo +4 | Generative Retrieval and Recommend Multi-Behavior and Multi-Interest Contrastive and Self-Supervised Se | 62 |
| Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems
sigir26-204 · Full research paper |
Rongfeng Jiang, Renchi Yang, Di Wu | Embedding Compression and Quantiza | 47 |
| Balanced Frequency Decoupling: Energy-Aware Multi-Scale Preference Modeling for Sequential Recommendation
sigir26-205 · Full research paper |
Jiahao Hu, Wei Guo Zhou, Jie Liao +3 | Sequential Recommendation with Use | 63 |
| Benchmarking Filtered Approximate Nearest Neighbor Search Algorithms on Transformer-based Embedding Vectors
sigir26-206 · Full research paper |
Patrick Iff, Paul Brügger, Marcin Chrapek +3 | Approximate Nearest Neighbor Searc | 46 |
| Beyond the Single Path: Divergent Reasoning for LLM-based Recommendation
sigir26-207 · Full research paper |
Guojia An, Jie Zou, Yi Yang +4 | LLM-Based Sequential Recommendatio Generative Recommendation and Item | 58 |
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sigir26-208 · Full research paper |
Zhida Qin, Zemu Liu, Haoyan Fu +4 | Sequential and Session-based Recom Cross-Domain Sequential Recommenda Cross-Domain and Cross-Market Sequ | 59 |
| Constructing Hard-Positive Query-Document Pairs for Dense Retrieval via Phrase Representativeness
sigir26-209 · Full research paper |
Zhanyu Wu, Richong Zhang, Zhijie Nie | Dense Bi-Encoder Training and Repr | 50 |
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sigir26-210 · Full research paper |
Wangyu Jin, Jiansheng Qian, Wenwen Xia +3 | Diffusion and Flow Recommenders Graph Contrastive and Self-Supervi | 60 |
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sigir26-211 · Full research paper |
Yankun Le, Fu Zhang, Haoran Li +4 | Diffusion and Flow Recommenders Others | 52 |
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sigir26-212 · Full research paper |
Yiran Qiao, Xiang Ao, Jing Chen +3 | RAG for Domain Applications Multimodal Fake News Detection | 68 |
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sigir26-213 · Full research paper |
Linjiang Guo, Nitin Bisht, Shiqing Wu +3 | Robustness to Noise and Distributi Contrastive and Self-Supervised Se | 60 |
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sigir26-214 · Full research paper |
Parker Carlson, Wentai Xie, Rohil Shah +1 | Learned Sparse Retrieval Efficienc Efficient Retrieval and Indexing Learned Sparse Retrieval | 90 |
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sigir26-215 · Full research paper |
Fuyuan Lyu, Zhi Chen, Jingyan Jiang +4 | CTR and Conversion Rate Prediction | 72 |
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sigir26-216 · Full research paper |
Zhifu Wei, Yizhou Dang, Guibing Guo +2 | Sequential and Session-based Recom Collaborative-Semantic Representat LLM-Enhanced Sequential Recommenda | 64 |
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sigir26-217 · Full research paper |
Mingjin Kuai, Qianyin Xiao, Juncheng Li +3 | Video and Moment Retrieval | 71 |
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sigir26-218 · Full research paper |
Zheng Bian, Man Lung Yiu, Bo Tang | Learned Sparse Retrieval Efficienc | 75 |
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sigir26-219 · Full research paper |
Yayong Li, Zhengyi Du, Hong Zhang +4 | Graph-based User and Item Represen | 48 |
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sigir26-220 · Full research paper |
Yunwen Huang, Shiyong Hong, Xijun Xiao +7 | CTR and Conversion Rate Prediction | 72 |
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sigir26-221 · Full research paper |
Yikang Hou, Junjie Huang, Yijun Ran +1 | Social Media and User Modelling | 37 |
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sigir26-222 · Full research paper |
Alireza Salemi, Hamed Zamani | Retrieval-Augmented and Open-Domai Personalized Question Answering an Personalized LLM Adaptation | 56 |
| LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation with Dual-phase Training
sigir26-223 · Full research paper |
Z LIU, Qidong Liu, Wanyu Wang +6 | Sequential and Session-based Recom LLM-Derived Knowledge Infusion LLM-Based Sequential Recommendatio | 60 |
| MLLMRec: A Preference Reasoning Paradigm with Graph Refinement for Multimodal Recommendation
sigir26-224 · Full research paper |
Yuzhuo Dang, Xin Zhang, Zhiqiang Pan +4 | Multimodal Denoising and Robustnes LLM-Derived Knowledge Infusion User Profile and Persona Modeling | 46 |
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sigir26-225 · Full research paper |
Xiang Li, Yanghao Xiao, Chunyuan Zheng +5 | Advertising and Auction Mechanisms | 100 |
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sigir26-226 · Full research paper |
Guoqing Wang, Zhao Zhang, Zeyu Sun +4 | Knowledge Conflict and Faithfulnes Automated Fact Checking and Claim | 67 |
| Search for Coverage: Learning Coverage-Aware Retrieval with Augmented Sub-Question Answerability
sigir26-227 · Full research paper |
Jia-Huei Ju, Eugene Yang, Trevor V. Adriaanse +2 | Multi-Hop and Iterative Retrieval Evidence Selection and Context Ref Evaluation Metrics and User Models | 56 |
| Seeing the Whole Through the Parts: Discovering Objects through Semantic Part Mining in Weak Supervision
sigir26-228 · Full research paper |
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