Topic Papers Reviews needed Pool can give Coverage Verdict
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Recommender Systems
examples
ACE: Semantically-Grounded Graph Alignment via Affective Contrastive Learning Adaptive Rich-kernelized Contrastive Learning for Capacity Enhancement in Collab Aspect-Aware Content-Based Recommendations for Mathematical Research Papers BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Langu Beyond Exposure Diversity: Debiasing News Consumption With Topic-Locality Calibr Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendati
78
150.5
137.6
91% tight · 12.9 short
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Sequential and Session-Based Recommendation
examples
Beyond Static Diffusion: Explicitly Modeling Temporal Patterns in Sequential Rec CATS: Cluster-Aware Thompson Sampling for Negative Mining in Sequential Recommen Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Seque FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequent From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Time-Interval-Aware Disentangled Expert Modeling for Next-Basket Recommendation
21
34.6
21.4
62% 13.2 reviews short
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Sequential Recommendation with User Modeling and Profiling
examples
Beyond Static Diffusion: Explicitly Modeling Temporal Patterns in Sequential Rec CATS: Cluster-Aware Thompson Sampling for Negative Mining in Sequential Recommen Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Seque Time-Interval-Aware Disentangled Expert Modeling for Next-Basket Recommendation TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendatio Coupling Global Context with Kinematic Evolution for Sequential Recommendation
11
18.6
6.4
34% 12.3 reviews short
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Contrastive and Self-Supervised Sequential Recommendation
examples
Beyond Static Diffusion: Explicitly Modeling Temporal Patterns in Sequential Rec From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Coupling Global Context with Kinematic Evolution for Sequential Recommendation Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender System An Action-Aware Generative Sequence Modeling for Short Video Recommendation
7
5.8
3.8
66% 2.0 reviews short
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Efficient and Long-Sequence Sequential Recommendation
examples
FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequent Time-Interval-Aware Disentangled Expert Modeling for Next-Basket Recommendation SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based
3
4.9
2.6
53% 2.3 reviews short
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LLM-Enhanced Sequential Recommendation
examples
Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender System SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential R Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommend Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequen LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation w SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based
7
3.1
0.7
24% 2.4 reviews short
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Multi-Behavior and Multi-Interest Sequential Recommendation
examples
An Action-Aware Generative Sequence Modeling for Short Video Recommendation
1
0.8
1.5
204% covered
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Sequential Recommendation with Side and Multimodal Information
examples
TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendatio
1
0.8
1.5
206% covered
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Cross-Domain and Cross-Market Sequential Recommendation
examples
From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommend LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation w
3
0.7
1.5
230% covered
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Graph-Based Sequential and Session Recommendation
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2.7
no submission here 2.7 reviews to spare
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Others
0
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0.6
no submission here 0.6 reviews to spare
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Collaborative Filtering and Graph-Based Recommendation
examples
ACE: Semantically-Grounded Graph Alignment via Affective Contrastive Learning Adaptive Rich-kernelized Contrastive Learning for Capacity Enhancement in Collab Cohesive Group Discovery in Interaction Graphs under Explicit Density Constraint DIAURec: Dual-Intent Space Representation Optimization for Recommendation Disentangling from Collaborative and Semantic Views: Graph Collaborative Filteri Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning f
18
24.0
17.5
73% tight · 6.5 short
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Graph Contrastive and Self-Supervised Learning
examples
ACE: Semantically-Grounded Graph Alignment via Affective Contrastive Learning Adaptive Rich-kernelized Contrastive Learning for Capacity Enhancement in Collab DIAURec: Dual-Intent Space Representation Optimization for Recommendation Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning f Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completio Same Frequency Begets Shared Interests: Popular-Niche Wavelet Graph Learning for
8
10.5
5.7
54% 4.8 reviews short
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Graph Neural Network Architectures for CF
examples
Disentangling from Collaborative and Semantic Views: Graph Collaborative Filteri Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning f Revisiting Collaborative Filtering by Unleashing the Power of Similarity Verbalizing LightGCN: Direct Learning of Textual Representations from User-Item
4
6.0
2.5
42% 3.5 reviews short
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Multi-Behavior Recommendation
examples
Inferring Targets from Calibrated Hesitations via Mutual Information Maximizatio Incremental Multi-Behavior Recommendation
2
2.2
0.1
2% 2.2 reviews short
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Cross-Domain and Social Graph Recommendation
examples
Cohesive Group Discovery in Interaction Graphs under Explicit Density Constraint
1
1.5
1.3
89% tight · 0.2 short
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Efficient and Lightweight Graph Collaborative Filtering
examples
Graph Diffusion Gated Embeddings for Recommender Systems Chunk-Wise Quantization for Graph Collaborative Filtering
2
1.5
2.2
145% covered
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Others
examples
Countering Interest Over-Smoothing: Distilling Latent Factors via Diffusion for
1
1.5
1.0
68% tight · 0.5 short
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LLM-Enhanced Collaborative Filtering
examples
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shapin
1
0.4
0.1
27% 0.3 reviews short
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Semantic-Collaborative Representation Alignment
examples
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shapin
1
0.4
0.1
27% 0.3 reviews short
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Negative Sampling and Loss Functions
0
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4.5
no submission here 4.5 reviews to spare
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Multimodal and Content-Based Recommendation
examples
Aspect-Aware Content-Based Recommendations for Mathematical Research Papers DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Dual-Diffusional Generative Fashion Recommendation Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completio Same Frequency Begets Shared Interests: Popular-Niche Wavelet Graph Learning for TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendatio
10
13.8
9.8
71% tight · 4.0 short
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Multimodal Denoising and Robustness
examples
Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completio Same Frequency Begets Shared Interests: Popular-Niche Wavelet Graph Learning for TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendatio Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guarantee DIGEST: Dynamic Graph Refinement with Dual Contrastive Semantic Transfer for Mul Multi-modal Relational Item Representation Learning for Inferring Substitutable
7
9.8
2.6
27% 7.1 reviews short
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Multimodal Recommendation for Domain Applications
examples
Aspect-Aware Content-Based Recommendations for Mathematical Research Papers Dual-Diffusional Generative Fashion Recommendation
2
3.0
2.5
82% tight · 0.5 short
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Content-Based Transferable Recommendation
examples
DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware
1
1.0
4.7
467% covered
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LLM-Based Recommendation
examples
BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Langu Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendati Factorized Latent Reasoning for LLM-based Recommendation ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shapin Verbalizing LightGCN: Direct Learning of Textual Representations from User-Item Verifiable Reasoning for LLM-based Generative Recommendation
14
13.2
4.1
31% 9.1 reviews short
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Knowledge Infusion and Open-World Augmentation
examples
BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Langu Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendati ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shapin Verifiable Reasoning for LLM-based Generative Recommendation LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recomme Adaptive Mix Preference Optimization for Generative Recommendation
8
6.4
2.0
32% 4.3 reviews short
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LLM-Based Sequential Recommendation
examples
Factorized Latent Reasoning for LLM-based Recommendation Verifiable Reasoning for LLM-based Generative Recommendation SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential R Beyond the Single Path: Divergent Reasoning for LLM-based Recommendation Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequen LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation w
8
5.4
1.2
23% 4.1 reviews short
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LLM-Collaborative Filtering Integration
examples
Verbalizing LightGCN: Direct Learning of Textual Representations from User-Item SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential R Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequen
3
1.5
0.9
57% 0.6 reviews short
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Others
0
—
0.0
no submission here —
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Cross-Domain and Multi-Scenario Recommendation
examples
Cross-Domain Interest Representation Learning for Scenario- and Task-Aware Recom Distribution-aware Re-representations for Multi-Scenario Recommendations From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Predicti Universal Item Tokenization for Transferable Generative Recommendation Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommend
8
12.1
10.5
87% tight · 1.6 short
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Domain Adaptation and Disentangled Representation for CDR
examples
Cross-Domain Interest Representation Learning for Scenario- and Task-Aware Recom Set-Based Cross-Domain Recommendation
2
4.5
4.4
98% tight · 0.1 short
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Multi-Scenario and Multi-Domain CTR Prediction
examples
Distribution-aware Re-representations for Multi-Scenario Recommendations FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Predicti
2
3.4
2.7
79% tight · 0.7 short
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Multi-Domain and Multi-Market Recommendation
examples
Cross-Domain Interest Representation Learning for Scenario- and Task-Aware Recom FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Predicti Universal Item Tokenization for Transferable Generative Recommendation
3
2.6
2.5
96% tight · 0.1 short
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Cross-Domain Sequential Recommendation
examples
From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommend LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation w
3
1.6
0.9
58% 0.7 reviews short
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CTR and Conversion Rate Prediction
examples
Hierarchical Denoising Entire Space Multi-Task Model for Post-Click Conversion R Beyond Dense Connectivity: Explicit Sparsity for Scalable Recommendation Debiased Recommendation Beyond the Positive Propensity Assumption FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Predicti Hypergraph Diffusion-Based Sequential Ensemble for CTR Prediction Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation
7
12.0
10.4
86% tight · 1.6 short
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Generative and Semantic-ID Recommendation
examples
CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommenda From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Large-Scale Online Learning for Generative List Recommendation in E-commerce: An Verifiable Reasoning for LLM-based Generative Recommendation Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and G Differentiable Semantic ID for Generative Recommendation
12
11.6
5.4
47% 6.2 reviews short
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Generative Retrieval and Recommendation Architectures
examples
From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Large-Scale Online Learning for Generative List Recommendation in E-commerce: An Verifiable Reasoning for LLM-based Generative Recommendation Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and G GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow N
9
7.1
2.6
37% 4.5 reviews short
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Item Tokenization and Semantic IDs
examples
CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommenda Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and G Differentiable Semantic ID for Generative Recommendation Universal Item Tokenization for Transferable Generative Recommendation
4
4.5
2.7
59% 1.8 reviews short
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Others
0
—
0.2
no submission here 0.2 reviews to spare
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Efficiency and Scalability in Recommendation
examples
Graph Diffusion Gated Embeddings for Recommender Systems Beyond Dense Connectivity: Explicit Sparsity for Scalable Recommendation Chunk-Wise Quantization for Graph Collaborative Filtering Balanced Co-Clustering of Users and Items for Embedding Table Compression in Rec SilverTorch: A Unified Model-based System to Democratize Large-Scale Recommendat
5
7.5
9.4
125% covered
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Embedding Compression and Quantization
examples
Graph Diffusion Gated Embeddings for Recommender Systems Chunk-Wise Quantization for Graph Collaborative Filtering Balanced Co-Clustering of Users and Items for Embedding Table Compression in Rec SilverTorch: A Unified Model-based System to Democratize Large-Scale Recommendat
4
5.2
2.6
49% 2.7 reviews short
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Efficient Sequential Recommendation Architectures
examples
Beyond Dense Connectivity: Explicit Sparsity for Scalable Recommendation
1
1.5
1.9
126% covered
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Efficient Training and Data Optimization
examples
SilverTorch: A Unified Model-based System to Democratize Large-Scale Recommendat
1
0.8
4.9
653% covered
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Fairness, Bias, and Robustness in Recommendation
examples
Beyond Exposure Diversity: Debiasing News Consumption With Topic-Locality Calibr Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Debiased Recommendation Beyond the Positive Propensity Assumption Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender System Diagnosing and Mitigating Mid-Sequence Degradation in Recommender Systems
6
6.8
8.0
119% covered
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Popularity Bias and Long-Tail Debiasing
examples
Beyond Exposure Diversity: Debiasing News Consumption With Topic-Locality Calibr Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment Debiased Recommendation Beyond the Positive Propensity Assumption
3
3.8
3.8
102% covered
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Robustness to Noise and Distribution Shift
examples
AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender System Diagnosing and Mitigating Mid-Sequence Degradation in Recommender Systems
3
3.0
4.2
141% covered
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Others
0
—
0.0
no submission here —
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Multi-Behavior and Multi-Task Recommendation
examples
Hierarchical Denoising Entire Space Multi-Task Model for Post-Click Conversion R Inferring Targets from Calibrated Hesitations via Mutual Information Maximizatio Incremental Multi-Behavior Recommendation Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Rec
4
4.5
7.9
176% covered
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Multi-Task and Multi-Objective Optimization
examples
Hierarchical Denoising Entire Space Multi-Task Model for Post-Click Conversion R Incremental Multi-Behavior Recommendation Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Rec
3
2.6
5.2
199% covered
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Multi-Behavior Recommendation
examples
Inferring Targets from Calibrated Hesitations via Mutual Information Maximizatio Incremental Multi-Behavior Recommendation
2
1.9
2.7
143% covered
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Reinforcement Learning and Off-Policy Recommendation
examples
Large-Scale Online Learning for Generative List Recommendation in E-commerce: An Advantage-Conditioned Flow Policy for Offline Reinforcement Learning in Recommen GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow N Mining Informative Interests via Latent Cross Reasoning for Search Enhanced Reco
4
3.8
8.0
214% covered
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Offline RL for Recommendation
examples
Advantage-Conditioned Flow Policy for Offline Reinforcement Learning in Recommen GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow N
2
2.2
1.9
85% tight · 0.3 short
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Long-Term Engagement and Retention Optimization
examples
Large-Scale Online Learning for Generative List Recommendation in E-commerce: An
1
0.8
6.1
815% covered
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Others
examples
Mining Informative Interests via Latent Cross Reasoning for Search Enhanced Reco
1
0.8
0.0
0% no reviewer here
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Cold-Start and Meta-Learning Recommendation
examples
GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start RecPFN: Prior-Fitted Networks for In-Context-Based Recommendations
2
2.2
6.1
271% covered
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Meta-Learning for Cold-Start Recommendation
examples
RecPFN: Prior-Fitted Networks for In-Context-Based Recommendations
1
1.5
3.4
229% covered
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Content and Attribute-Based Cold-Start Recommendation
examples
GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start
1
0.8
2.7
356% covered
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Conversational and Interactive Recommendation
examples
When and How to Ask: Dynamic Preference Elicitation Strategies for Conversationa
1
1.5
1.3
85% tight · 0.2 short
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Explainable and Causal Recommendation
examples
Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Reco
1
1.5
1.9
125% covered
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Recommendation Systems and Evaluation
examples
Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Rec
1
0.8
9.4
999%+ covered
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Recommendation with Search and Ranking
examples
Mining Informative Interests via Latent Cross Reasoning for Search Enhanced Reco
1
0.8
4.4
583% covered
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Social and Group Recommendation
0
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1.9
no submission here 1.9 reviews to spare
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Others
0
—
0.2
no submission here 0.2 reviews to spare
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Information Retrieval and Ranking
examples
Attention Grounded Enhancement for Visual Document Retrieval Corpus-Centric Learning for Zero-Shot Table Retrieval Decision-Theoretic Stopping Rules for Document Screening Formalized Information Needs Improve Large-Language-Model Relevance Judgments From Tokens to Concepts: Leveraging SAE for SPLADE Internalizing Explicit Reasoning into Latent Space for Dense Retrieval
42
79.5
76.9
97% tight · 2.6 short
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IR Evaluation and Relevance Assessment
examples
Decision-Theoretic Stopping Rules for Document Screening Formalized Information Needs Improve Large-Language-Model Relevance Judgments Learning to Rank with Multi-Criteria LLM-Judge Annotations The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimizati Demand-Calibrated Facet Diversification with Deployable Soft Quotas for E-Commer Equity vs. Equality: Optimizing Ranking Fairness for Tailored Provider Needs
11
20.2
12.0
59% 8.2 reviews short
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LLM-Based Relevance Assessment
examples
Formalized Information Needs Improve Large-Language-Model Relevance Judgments Learning to Rank with Multi-Criteria LLM-Judge Annotations Hybrid Pooling with LLMs via Relevance Context Learning Topic-Specific Classifiers are Better Relevance Judges than Prompted LLMs
4
9.0
2.8
31% 6.2 reviews short
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Evaluation Metrics and User Models
examples
Decision-Theoretic Stopping Rules for Document Screening The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimizati Demand-Calibrated Facet Diversification with Deployable Soft Quotas for E-Commer Equity vs. Equality: Optimizing Ranking Fairness for Tailored Provider Needs Search for Coverage: Learning Coverage-Aware Retrieval with Augmented Sub-Questi
5
7.5
3.5
46% 4.0 reviews short
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Test Collection Construction and Pooling
examples
How Variability Influences Podcast Search: Queries, Transcriptions, and Judges Hybrid Pooling with LLMs via Relevance Context Learning
2
3.0
3.2
106% covered
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Evaluation Resources and Tools
examples
FollowTable: A Benchmark for Instruction-Following Table Retrieval
1
0.8
2.5
339% covered
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Others
0
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0.1
no submission here 0.1 reviews to spare
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Learning to Rank and Reranking
examples
Attention Grounded Enhancement for Visual Document Retrieval Internalizing Explicit Reasoning into Latent Space for Dense Retrieval Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Ret Learning to Rank with Multi-Criteria LLM-Judge Annotations OPS: An Order-Preserving Sorting Network for Information Retrieval ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Gra
14
19.5
16.9
87% tight · 2.6 short
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Ranking Losses and Objectives
examples
Learning to Rank with Multi-Criteria LLM-Judge Annotations OPS: An Order-Preserving Sorting Network for Information Retrieval Logit Inflation in ListMLE: Theoretical Analysis and Mitigation Strategies
3
7.5
4.3
57% 3.2 reviews short
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Cross-Encoder and Neural Reranking
examples
Attention Grounded Enhancement for Visual Document Retrieval Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Ret ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Gra Consensus-Anchored Expansion for Noise-Resilient Re-ranking RULER: Robust Unified LLM-based Efficient Retrieval for Legal Information When Vision Meets Texts in Listwise Reranking
6
6.8
2.5
37% 4.3 reviews short
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Ranking Distillation and Adaptation
examples
Internalizing Explicit Reasoning into Latent Space for Dense Retrieval Good Ranks Follow Good Answers: Unsupervised Answer-Driven Reranking for Multimo Learning to Retrieve from Agent Trajectories
3
3.0
2.3
76% tight · 0.7 short
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LLM-Based Reranking
examples
ARHN: Answer-Centric Relabeling of Hard Negatives with Open-Source LLMs for Dens Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking
2
2.2
2.9
129% covered
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Web-Scale Learning to Rank
0
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4.5
no submission here 4.5 reviews to spare
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Others
0
—
0.5
no submission here 0.5 reviews to spare
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Dense and Sparse Retrieval Models
examples
Attention Grounded Enhancement for Visual Document Retrieval Corpus-Centric Learning for Zero-Shot Table Retrieval From Tokens to Concepts: Leveraging SAE for SPLADE Internalizing Explicit Reasoning into Latent Space for Dense Retrieval MCP-Focus: Leveraging Function-Oriented Document Enhancement for MCP Server Retr ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Gra
18
18.8
11.5
61% 7.2 reviews short
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Dense Bi-Encoder Training and Representation Learning
examples
Corpus-Centric Learning for Zero-Shot Table Retrieval Internalizing Explicit Reasoning into Latent Space for Dense Retrieval ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Gra ARHN: Answer-Centric Relabeling of Hard Negatives with Open-Source LLMs for Dens Learning to Retrieve from Agent Trajectories Recasting Web-Scale Query Suggestion as dense retrieval: Efficient, Up-to-Date,
9
8.5
6.0
70% tight · 2.5 short
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Learned Sparse Retrieval
examples
From Tokens to Concepts: Leveraging SAE for SPLADE Adaptive Sparsity Optimization with Learnable Soft Top-K and Per-Term Thresholdi NumColBERT: Non-Intrusive Numeracy Injection for Late-Interaction Retrieval Mode PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID Why Advanced Encoders Lag on Sparse Retrieval? The Answer and an Approach to Bri A Voronoi Cell Formulation for Principled Token Pruning in Late-Interaction Retr
7
6.4
2.3
36% 4.1 reviews short
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Domain-Specific and Multilingual Dense Retrieval
examples
Attention Grounded Enhancement for Visual Document Retrieval Corpus-Centric Learning for Zero-Shot Table Retrieval MCP-Focus: Leveraging Function-Oriented Document Enhancement for MCP Server Retr ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Gra NumColBERT: Non-Intrusive Numeracy Injection for Late-Interaction Retrieval Mode
5
2.1
0.8
35% 1.4 reviews short
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Query and Document Representation Enhancement
examples
Attention Grounded Enhancement for Visual Document Retrieval MCP-Focus: Leveraging Function-Oriented Document Enhancement for MCP Server Retr PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID
3
1.1
1.2
111% covered
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Zero-Shot and Domain Generalization for Retrieval
examples
Corpus-Centric Learning for Zero-Shot Table Retrieval Recasting Web-Scale Query Suggestion as dense retrieval: Efficient, Up-to-Date,
2
0.6
1.1
183% covered
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Others
0
—
0.1
no submission here 0.1 reviews to spare
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Query Reformulation and Expansion
examples
Consensus-Anchored Expansion for Noise-Resilient Re-ranking DocQAC: Adaptive Trie-Guided Decoding for Effective In-Document Query Auto-Compl PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID Recasting Web-Scale Query Suggestion as dense retrieval: Efficient, Up-to-Date, SmartSearch: Process Reward-Guided Query Refinement for Search Agents When More Reformulations Hurt: Avoiding Drift using Ranker Feedback
6
9.0
6.5
72% tight · 2.5 short
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Domain-Specific and Structured Retrieval
examples
Corpus-Centric Learning for Zero-Shot Table Retrieval Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Ret MCP-Focus: Leveraging Function-Oriented Document Enhancement for MCP Server Retr FollowTable: A Benchmark for Instruction-Following Table Retrieval RULER: Robust Unified LLM-based Efficient Retrieval for Legal Information
5
4.5
2.1
48% 2.4 reviews short
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Efficient Retrieval and Indexing
examples
Adaptive Sparsity Optimization with Learnable Soft Top-K and Per-Term Thresholdi A Voronoi Cell Formulation for Principled Token Pruning in Late-Interaction Retr Efficient Sparse Retrieval with Lightweight Superblock Pruning
3
2.2
3.1
138% covered
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Generative Retrieval
examples
A Parametric Memory Head for Continual Generative Retrieval
1
1.5
5.0
336% covered
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Unbiased Learning to Rank
examples
Diagnosing Identifiability in Two-Tower Models for Unbiased Learning to Rank
1
1.5
4.2
280% covered
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Search and Recommendation Integration
examples
Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
1
1.5
0.6
41% 0.9 reviews short
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Personalized and Context-Aware Retrieval
examples
Demand-Calibrated Facet Diversification with Deployable Soft Quotas for E-Commer
1
0.8
2.7
363% covered
•
Query Performance Prediction
0
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3.5
no submission here 3.5 reviews to spare
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Robustness and Adversarial IR
0
—
3.2
no submission here 3.2 reviews to spare
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Conversational and Session Search
0
—
0.8
no submission here 0.8 reviews to spare
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Retrieval Toolkits and Reproducibility
0
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3.7
no submission here 3.7 reviews to spare
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Others
0
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0.8
no submission here 0.8 reviews to spare
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LLMs for Recommendation and Personalization
examples
BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Langu Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendati Bridging LLM Embeddings and VAE Parameters for Disentangled Recommendation DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware DIAURec: Dual-Intent Space Representation Optimization for Recommendation Discrete Preference Learning for Personalized Multimodal Generation
38
59.0
30.7
52% 28.3 reviews short
▾
Knowledge Infusion and Collaborative Integration
examples
Bridging LLM Embeddings and VAE Parameters for Disentangled Recommendation DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware DIAURec: Dual-Intent Space Representation Optimization for Recommendation From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain GNN-Based Item Indexing for LLM-Enhanced Recommendation Learning Decomposed Contextual Token Representations from Pretrained and Collabo
14
12.8
6.2
49% 6.5 reviews short
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LLM-Derived Knowledge Infusion
examples
DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain GNN-Based Item Indexing for LLM-Enhanced Recommendation MVIGER: Multi-View Variational Integration of Complementary Knowledge for Genera ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shapin Verbalizing LightGCN: Direct Learning of Textual Representations from User-Item
10
9.8
2.8
29% 7.0 reviews short
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Collaborative-Semantic Representation Alignment
examples
Bridging LLM Embeddings and VAE Parameters for Disentangled Recommendation DIAURec: Dual-Intent Space Representation Optimization for Recommendation Learning Decomposed Contextual Token Representations from Pretrained and Collabo Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequen
4
3.0
3.4
115% covered
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Preference Alignment and Optimization
examples
BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Langu Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendati Discrete Preference Learning for Personalized Multimodal Generation Factorized Latent Reasoning for LLM-based Recommendation Multimodal Large Language Models with Adaptive Preference Optimization for Seque RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation
11
11.2
5.3
47% 5.9 reviews short
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Personalization and User Profiling
examples
Bridging LLM Embeddings and VAE Parameters for Disentangled Recommendation DIAURec: Dual-Intent Space Representation Optimization for Recommendation Discrete Preference Learning for Personalized Multimodal Generation Improving Interpretability of Cognitive Diagnosis Models with LLM-based Semantic NeurPIU: Neurobiologically Inspired Personalized Intent Understanding in Large L ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shapin
11
10.5
5.0
48% 5.5 reviews short
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User Profile and Persona Modeling
examples
Discrete Preference Learning for Personalized Multimodal Generation Improving Interpretability of Cognitive Diagnosis Models with LLM-based Semantic NeurPIU: Neurobiologically Inspired Personalized Intent Understanding in Large L ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shapin Verbalizing LightGCN: Direct Learning of Textual Representations from User-Item Task-Aware Automated User Profile Generation for Recommendation Simulation Using
7
6.0
2.8
46% 3.2 reviews short
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Personalized LLM Adaptation
examples
Bridging LLM Embeddings and VAE Parameters for Disentangled Recommendation DIAURec: Dual-Intent Space Representation Optimization for Recommendation NeurPIU: Neurobiologically Inspired Personalized Intent Understanding in Large L One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment Learning from Natural Language Feedback for Personalized Question Answering
5
4.5
2.3
50% 2.2 reviews short
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Sequential and Session-based Recommendation
examples
Factorized Latent Reasoning for LLM-based Recommendation From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Multimodal Large Language Models with Adaptive Preference Optimization for Seque Mining Informative Interests via Latent Cross Reasoning for Search Enhanced Reco SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential R Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommend
10
8.8
2.3
26% 6.4 reviews short
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Generative Recommendation and Item Tokenization
examples
BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Langu GNN-Based Item Indexing for LLM-Enhanced Recommendation Learning Decomposed Contextual Token Representations from Pretrained and Collabo MVIGER: Multi-View Variational Integration of Complementary Knowledge for Genera Verifiable Reasoning for LLM-based Generative Recommendation Drift-Aware Incremental Token Adaptation with Collaborative Semantics for Genera
9
7.5
4.0
53% 3.5 reviews short
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Efficiency and Deployment
examples
Drift-Aware Incremental Token Adaptation with Collaborative Semantics for Genera IPQA: A Benchmark for Core Intent Identification in Personalized Question Answer Modular Representation Compression: Adapting LLM Representations for Efficient a SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential R Task-Aware Automated User Profile Generation for Recommendation Simulation Using Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
8
6.8
4.9
72% tight · 1.9 short
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Personalized Question Answering and RAG
examples
IPQA: A Benchmark for Core Intent Identification in Personalized Question Answer Learning from Natural Language Feedback for Personalized Question Answering
2
1.5
1.0
64% 0.5 reviews short
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Others
0
—
2.0
no submission here 2.0 reviews to spare
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Retrieval-Augmented Generation
examples
Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmen Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Ne Hierarchical Embedding Fusion for Retrieval-Augmented Code Generation Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitat ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory Towards Knowledgeable Deep Research: Framework and Benchmark
29
49.0
24.5
50% 24.5 reviews short
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Knowledge Conflict and Faithfulness
examples
Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method FAIR-RAG: An End-to-End Framework for Mitigating Political Bias through Fair Ret NuggetIndex: Governed Atomic Retrieval for Maintainable RAG Tokens to Types: Context Editing with Selective Entity Abstraction for Grounded Uncertainty Quantification for Retrieval-Augmented Reasoning
7
9.8
4.4
45% 5.3 reviews short
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Evidence Selection and Context Refinement
examples
Towards Knowledgeable Deep Research: Framework and Benchmark Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval ExDR: Explanation-driven Dynamic Retrieval Enhancement for Multimodal Fake News Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, Incentivizing Retrieval-Augmented Generation via Inner Adaptive Context Selectio
9
8.2
4.7
57% 3.5 reviews short
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Efficient and Long-Context RAG
examples
Hierarchical Embedding Fusion for Retrieval-Augmented Code Generation DLLM-Searcher: Adapting Diffusion Language Model for Efficient Search Agents FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters Incentivizing Retrieval-Augmented Generation via Inner Adaptive Context Selectio SRAG: A Lightweight and Specialized Retrieval-augmented Generation System at the
5
6.8
3.1
46% 3.6 reviews short
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Multimodal and Graph RAG
examples
Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmen Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitat ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generatio Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation
7
6.5
3.2
49% 3.3 reviews short
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RAG for Domain Applications
examples
Hierarchical Embedding Fusion for Retrieval-Augmented Code Generation DocQAC: Adaptive Trie-Guided Decoding for Effective In-Document Query Auto-Compl ExDR: Explanation-driven Dynamic Retrieval Enhancement for Multimodal Fake News mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generatio Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking SRAG: A Lightweight and Specialized Retrieval-augmented Generation System at the
7
6.5
1.9
29% 4.6 reviews short
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Multi-Hop and Iterative Retrieval Reasoning
examples
Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmen HiRA: Decoupling Planning and Execution with Hierarchical Reasoning in Deep Sear Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation STRIDE: Strategic Iterative Decision-Making for Retrieval-Augmented Multi-Hop Qu Uncertainty Quantification for Retrieval-Augmented Reasoning
7
6.0
2.1
35% 3.9 reviews short
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Agentic and Deep Search RAG
examples
Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Ne Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitat Towards Knowledgeable Deep Research: Framework and Benchmark DLLM-Searcher: Adapting Diffusion Language Model for Efficient Search Agents HiRA: Decoupling Planning and Execution with Hierarchical Reasoning in Deep Sear STRIDE: Strategic Iterative Decision-Making for Retrieval-Augmented Multi-Hop Qu
6
5.2
1.5
28% 3.8 reviews short
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Personalized and Conversational RAG
0
—
1.4
no submission here 1.4 reviews to spare
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Others
0
—
2.2
no submission here 2.2 reviews to spare
▾
Multimodal and Cross-Modal Retrieval
examples
Agentic Spatio-Temporal Grounding via Collaborative Reasoning Attention Grounded Enhancement for Visual Document Retrieval Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmen CoMCo: Consistency-Aware Multi-Agent Coordination for Zero-Shot Cross-Modal Enti From Interference to Stability: Adversarial Reliability Correction for Video Mom MECI: Multi-Element Collaborative Interaction for Multimodal Entity Linking
22
46.5
29.9
64% 16.6 reviews short
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Universal Multimodal Embedding and MLLM Retrieval
examples
Attention Grounded Enhancement for Visual Document Retrieval Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmen CoMCo: Consistency-Aware Multi-Agent Coordination for Zero-Shot Cross-Modal Enti MECI: Multi-Element Collaborative Interaction for Multimodal Entity Linking Multi-Vector Index Compression in Any Modality Pretrain-then-Adapt: Uncertainty-Aware Test-Time Adaptation for Text-based Perso
13
22.5
13.4
59% 9.1 reviews short
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Video and Moment Retrieval
examples
Agentic Spatio-Temporal Grounding via Collaborative Reasoning From Interference to Stability: Adversarial Reliability Correction for Video Mom Struct-Align: Zero-Shot Text-to-3D Scene Retrieval via Locality-Aware Structural Unsupervised 2D Image-Based 3D Model Retrieval via Decision Boundary Alignment a Denoise and Align: Diffusion-Driven Foreground Knowledge Prompting for Open-Voca StructAlign: Structured Cross-Modal Alignment for Continual Text-to-Video Retrie
7
18.0
5.5
31% 12.5 reviews short
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Cross-Modal Hashing and Quantization
examples
Spectral-Adaptive Adversarial Hashing for Robust Image Retrieval
1
3.0
8.3
277% covered
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Others
examples
Selective Constraint Learning for Unsupervised Cross-Domain Image Retrieval
1
3.0
2.7
89% tight · 0.3 short
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Generative Models for Recommendation and Content
examples
Beyond Static Diffusion: Explicitly Modeling Temporal Patterns in Sequential Rec Bridging LLM Embeddings and VAE Parameters for Disentangled Recommendation CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommenda Discrete Preference Learning for Personalized Multimodal Generation Dual-Diffusional Generative Fashion Recommendation From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain
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35.5
19.1
54% 16.4 reviews short
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Diffusion and Flow Recommenders
examples
Beyond Static Diffusion: Explicitly Modeling Temporal Patterns in Sequential Rec Bridging LLM Embeddings and VAE Parameters for Disentangled Recommendation Discrete Preference Learning for Personalized Multimodal Generation Dual-Diffusional Generative Fashion Recommendation From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Reco
11
16.0
5.4
34% 10.6 reviews short
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Item Tokenization and Semantic IDs
examples
CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommenda Discrete Preference Learning for Personalized Multimodal Generation Learning Decomposed Contextual Token Representations from Pretrained and Collabo Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and G Differentiable Semantic ID for Generative Recommendation Drift-Aware Incremental Token Adaptation with Collaborative Semantics for Genera
8
10.5
4.3
41% 6.2 reviews short
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Generative Retrieval and Ranking
examples
Large-Scale Online Learning for Generative List Recommendation in E-commerce: An MVIGER: Multi-View Variational Integration of Complementary Knowledge for Genera GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow N
4
6.0
3.8
63% 2.2 reviews short
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Multimodal Generative Recommendation
examples
CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommenda Dual-Diffusional Generative Fashion Recommendation Multimodal Large Language Models with Adaptive Preference Optimization for Seque
3
3.0
3.4
112% covered
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Others
0
—
2.3
no submission here 2.3 reviews to spare
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Knowledge Graphs and Entity-Centric Retrieval
examples
Aspect-Aware Content-Based Recommendations for Mathematical Research Papers CoMCo: Consistency-Aware Multi-Agent Coordination for Zero-Shot Cross-Modal Enti DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware GNN-based Anchor Embedding for Efficient Subgraph Retrieval Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quali MECI: Multi-Element Collaborative Interaction for Multimodal Entity Linking
18
33.5
33.4
100% tight · 0.1 short
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Knowledge Graph Embedding and Completion
examples
Aspect-Aware Content-Based Recommendations for Mathematical Research Papers DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware GNN-based Anchor Embedding for Efficient Subgraph Retrieval One-for-All Community Search on Unseen Graphs RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation Multi-Faceted Continual Knowledge Graph Embedding for Semantic-Aware Link Predic
7
14.5
14.7
101% covered
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Entity Linking and Alignment
examples
CoMCo: Consistency-Aware Multi-Agent Coordination for Zero-Shot Cross-Modal Enti Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quali MECI: Multi-Element Collaborative Interaction for Multimodal Entity Linking OntoEL: Neuro-Symbolic Biomedical Entity Linking with Differentiable Fuzzy EL⊥ R Unified Entity Matching under Scarce Supervision via Meta-Rule Induction and Ret
5
10.5
5.5
53% 5.0 reviews short
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KG-Augmented LLM Reasoning
examples
SSR: Structured Subgraph Retrieval for Temporal Knowledge Graph Question Answeri Exploration-and-Thinking: Agentic Reasoning over Knowledge Graphs via an LLM-RL Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generatio Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation
5
6.2
6.6
106% covered
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Knowledge Graph Question Answering
examples
SSR: Structured Subgraph Retrieval for Temporal Knowledge Graph Question Answeri GCA-KBQA: A Step-Wise Logical Form Generation Approach for KBQA with Knowledge-A
2
2.2
3.3
146% covered
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Others
0
—
3.3
no submission here 3.3 reviews to spare
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User Behavior and Search Interaction
examples
A Comparative Study of Users' Information-Seeking Practices Across Search Engine An Epistemic Position-Based Click Model: From Interactions to Epistemic Distribu An Eye Tracking Study: Are AI Overviews Changing Search Behavior? Cognitive Style Shapes Search Behaviours: An fNIRS Study of Exploratory Search Do Simulated Users Need to Remember? Analyzing the Impact of Memory Models in Co FACE: A Fine-Grained Reference-Free Evaluator for Conversational Information Acc
14
28.5
14.1
49% 14.4 reviews short
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Graph Neural Networks for Web and Recommendation
examples
ACE: Semantically-Grounded Graph Alignment via Affective Contrastive Learning Cohesive Group Discovery in Interaction Graphs under Explicit Density Constraint Disentangling from Collaborative and Semantic Views: Graph Collaborative Filteri Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning f GNN-Based Item Indexing for LLM-Enhanced Recommendation Graph Diffusion Gated Embeddings for Recommender Systems
16
28.5
31.0
109% covered
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Graph-based User and Item Representation Learning
examples
Disentangling from Collaborative and Semantic Views: Graph Collaborative Filteri GNN-Based Item Indexing for LLM-Enhanced Recommendation Graph Diffusion Gated Embeddings for Recommender Systems Chunk-Wise Quantization for Graph Collaborative Filtering Hierarchical Cluster-based Open-World Graph Active Learning
5
8.2
5.6
68% tight · 2.6 short
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Graph Contrastive and Self-Supervised Learning
examples
ACE: Semantically-Grounded Graph Alignment via Affective Contrastive Learning Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning f Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completio Same Frequency Begets Shared Interests: Popular-Niche Wavelet Graph Learning for DIGEST: Dynamic Graph Refinement with Dual Contrastive Semantic Transfer for Mul
5
7.5
9.5
127% covered
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Graph Learning for Text-Attributed and Heterogeneous Networks
examples
Disentangling from Collaborative and Semantic Views: Graph Collaborative Filteri Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quali Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph
3
4.5
3.3
73% tight · 1.2 short
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Sequential and Session-Based Graph Recommendation
examples
AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Incremental Multi-Behavior Recommendation
2
3.0
2.4
79% tight · 0.6 short
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Graph Anomaly and Out-of-Distribution Detection
examples
Mitigating Structural Overfitting: A Distribution-Aware Rectification Framework
1
3.0
3.6
119% covered
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Social and Group Graph Recommendation
examples
Cohesive Group Discovery in Interaction Graphs under Explicit Density Constraint
1
1.5
1.9
128% covered
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Graph Pretraining and Foundation Models
examples
Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quali
1
0.8
3.1
419% covered
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Others
0
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1.7
no submission here 1.7 reviews to spare
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Search Agents and LLM Reasoning
examples
Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Ne Internalizing Explicit Reasoning into Latent Space for Dense Retrieval MCP-Focus: Leveraging Function-Oriented Document Enhancement for MCP Server Retr R3Check: Reinforcement Learning for Iterative Retrieval and Structured Reasoning Towards Knowledgeable Deep Research: Framework and Benchmark Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Searc
15
24.0
24.9
104% covered
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Deep Research and Report Generation
examples
Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Ne Towards Knowledgeable Deep Research: Framework and Benchmark Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Searc HiRA: Decoupling Planning and Execution with Hierarchical Reasoning in Deep Sear TimelineReasoner: Advancing Timeline Summarization with Large Reasoning Models
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6.8
1.6
23% 5.2 reviews short
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Reinforcement Learning for Search Agents
examples
R3Check: Reinforcement Learning for Iterative Retrieval and Structured Reasoning Exploration-and-Thinking: Agentic Reasoning over Knowledge Graphs via an LLM-RL HiRA: Decoupling Planning and Execution with Hierarchical Reasoning in Deep Sear SmartSearch: Process Reward-Guided Query Refinement for Search Agents Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learn
5
6.0
8.8
146% covered
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RL Training of Search Agents
examples
R3Check: Reinforcement Learning for Iterative Retrieval and Structured Reasoning Exploration-and-Thinking: Agentic Reasoning over Knowledge Graphs via an LLM-RL SmartSearch: Process Reward-Guided Query Refinement for Search Agents Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learn
4
3.4
3.0
89% tight · 0.4 short
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Multi-Agent and Tool-Use Orchestration
examples
HiRA: Decoupling Planning and Execution with Hierarchical Reasoning in Deep Sear Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learn
2
1.5
3.9
258% covered
•
Process and Outcome Reward Design
examples
R3Check: Reinforcement Learning for Iterative Retrieval and Structured Reasoning SmartSearch: Process Reward-Guided Query Refinement for Search Agents
2
1.1
1.1
94% tight · 0.1 short
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Others
0
—
0.9
no submission here 0.9 reviews to spare
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Reasoning-Intensive Retrieval and Ranking
examples
Internalizing Explicit Reasoning into Latent Space for Dense Retrieval Learning to Retrieve from Agent Trajectories Recursive Short-to-Long Generalization for Multi-hop Reasoning Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking
4
5.2
1.8
34% 3.5 reviews short
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Reasoning Evaluation and Benchmarks
examples
MCP-Focus: Leveraging Function-Oriented Document Enhancement for MCP Server Retr DLLM-Searcher: Adapting Diffusion Language Model for Efficient Search Agents Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learn
3
3.8
5.4
145% covered
•
Reward Modeling and Process Supervision
examples
DLLM-Searcher: Adapting Diffusion Language Model for Efficient Search Agents SmartSearch: Process Reward-Guided Query Refinement for Search Agents Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking
3
2.2
5.6
247% covered
•
Others
0
—
1.8
no submission here 1.8 reviews to spare
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Efficient Retrieval and Indexing Systems
examples
GNN-based Anchor Embedding for Efficient Subgraph Retrieval Hierarchical Embedding Fusion for Retrieval-Augmented Code Generation Multi-Vector Index Compression in Any Modality Adaptive Sparsity Optimization with Learnable Soft Top-K and Per-Term Thresholdi NuggetIndex: Governed Atomic Retrieval for Maintainable RAG NumColBERT: Non-Intrusive Numeracy Injection for Late-Interaction Retrieval Mode
14
24.0
15.7
65% 8.3 reviews short
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Learned Sparse Retrieval Efficiency
examples
Hierarchical Embedding Fusion for Retrieval-Augmented Code Generation Multi-Vector Index Compression in Any Modality Adaptive Sparsity Optimization with Learnable Soft Top-K and Per-Term Thresholdi NuggetIndex: Governed Atomic Retrieval for Maintainable RAG NumColBERT: Non-Intrusive Numeracy Injection for Late-Interaction Retrieval Mode PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID
10
16.5
10.1
61% 6.4 reviews short
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Approximate Nearest Neighbor Search
examples
GNN-based Anchor Embedding for Efficient Subgraph Retrieval Benchmarking Filtered Approximate Nearest Neighbor Search Algorithms on Transfor SilverTorch: A Unified Model-based System to Democratize Large-Scale Recommendat
3
6.0
2.7
46% 3.3 reviews short
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Generative Retrieval Efficiency
examples
A Parametric Memory Head for Continual Generative Retrieval
1
1.5
0.2
14% 1.3 reviews short
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Others
0
—
2.7
no submission here 2.7 reviews to spare
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Question Answering and Reading Comprehension
examples
Corpus-Centric Learning for Zero-Shot Table Retrieval RegionSLM: Region-aware Question Answering on Document Screenshots SSR: Structured Subgraph Retrieval for Temporal Knowledge Graph Question Answeri ARHN: Answer-Centric Relabeling of Hard Negatives with Open-Source LLMs for Dens FollowTable: A Benchmark for Instruction-Following Table Retrieval From Existence to Exhaustiveness: Unveiling the Compounding Failures of LLMs in
15
24.0
13.6
57% 10.4 reviews short
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Multi-hop and Complex Reasoning QA
examples
Corpus-Centric Learning for Zero-Shot Table Retrieval SSR: Structured Subgraph Retrieval for Temporal Knowledge Graph Question Answeri FollowTable: A Benchmark for Instruction-Following Table Retrieval From Existence to Exhaustiveness: Unveiling the Compounding Failures of LLMs in GCA-KBQA: A Step-Wise Logical Form Generation Approach for KBQA with Knowledge-A Mitigating Bias in Large Language Model Based Question Answering through Causal
9
13.5
7.0
52% 6.5 reviews short
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Retrieval-Augmented and Open-Domain QA
examples
Corpus-Centric Learning for Zero-Shot Table Retrieval RegionSLM: Region-aware Question Answering on Document Screenshots ARHN: Answer-Centric Relabeling of Hard Negatives with Open-Source LLMs for Dens Good Ranks Follow Good Answers: Unsupervised Answer-Driven Reranking for Multimo IPQA: A Benchmark for Core Intent Identification in Personalized Question Answer SciCheck: Reasoning Distillation for Biomedical Claim Verification
8
10.5
6.2
59% 4.3 reviews short
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Others
0
—
0.5
no submission here 0.5 reviews to spare
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Multimodal Large Language Models
examples
Agentic Spatio-Temporal Grounding via Collaborative Reasoning Mitigating Evidence Suppression: Bi-level Active Evidence Injection for Educatio Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitat NeuCon-ICE: Neuron-Level Controllable In-Context Editing for Multimodal Large La ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory Retrieval-Augmented Multimodal Model for Fake News Detection
12
22.0
19.7
89% tight · 2.3 short
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Video and Temporal Understanding
examples
Agentic Spatio-Temporal Grounding via Collaborative Reasoning Mitigating Evidence Suppression: Bi-level Active Evidence Injection for Educatio ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos Denoise and Align: Diffusion-Driven Foreground Knowledge Prompting for Open-Voca Think with Grounding: Curriculum Reinforced Reasoning with Video Grounding for L
6
6.0
2.7
45% 3.3 reviews short
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Multimodal Evaluation and Benchmarks
examples
Mitigating Evidence Suppression: Bi-level Active Evidence Injection for Educatio NeuCon-ICE: Neuron-Level Controllable In-Context Editing for Multimodal Large La Retrieval-Augmented Multimodal Model for Fake News Detection Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos
4
6.0
9.2
153% covered
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Multimodal Retrieval and Embedding
examples
Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitat ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory Retrieval-Augmented Multimodal Model for Fake News Detection mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generatio Multi-modal Relational Item Representation Learning for Inferring Substitutable Reconstructing Content with Collaborative Attention for Universal Multimodal Rep
6
5.8
4.2
73% tight · 1.6 short
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Multimodal Reasoning and Grounding
examples
Agentic Spatio-Temporal Grounding via Collaborative Reasoning Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitat Denoise and Align: Diffusion-Driven Foreground Knowledge Prompting for Open-Voca mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generatio Think with Grounding: Curriculum Reinforced Reasoning with Video Grounding for L
5
4.2
3.0
71% tight · 1.2 short
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Others
0
—
0.6
no submission here 0.6 reviews to spare
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Fairness, Bias and Trust in IR and RecSys
examples
Beyond Exposure Diversity: Debiasing News Consumption With Topic-Locality Calibr Debiased Multimodal Personality Understanding through Dual Causal Intervention How Far Are We from Automatically Identifying Violations of the Data Minimizatio Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimizati Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval
12
19.5
20.1
103% covered
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Bias Measurement and Fairness Evaluation
examples
Beyond Exposure Diversity: Debiasing News Consumption With Topic-Locality Calibr Debiased Multimodal Personality Understanding through Dual Causal Intervention How Far Are We from Automatically Identifying Violations of the Data Minimizatio Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimizati Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval
11
18.0
14.6
81% tight · 3.4 short
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Bias Mitigation Methods
examples
Beyond Exposure Diversity: Debiasing News Consumption With Topic-Locality Calibr Debiased Multimodal Personality Understanding through Dual Causal Intervention Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval FAIR-RAG: An End-to-End Framework for Mitigating Political Bias through Fair Ret FairSpec: Expert Specialization for Fair LLM-based Recommendation Mitigating Bias in Large Language Model Based Question Answering through Causal
7
10.5
5.3
50% 5.2 reviews short
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Fairness Metrics and Evaluation
examples
How Far Are We from Automatically Identifying Violations of the Data Minimizatio Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimizati Equity vs. Equality: Optimizing Ranking Fairness for Tailored Provider Needs
4
7.5
9.3
124% covered
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Popularity Bias and Debiasing in Recommendation
examples
Debiased Recommendation Beyond the Positive Propensity Assumption
1
1.5
5.2
348% covered
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Others
0
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0.3
no submission here 0.3 reviews to spare
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Fake News, Fact Checking and Misinformation
examples
Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Ret Mitigating Adversarial Attacks by Transferring LLM-generated Narrative Reasoning R3Check: Reinforcement Learning for Iterative Retrieval and Structured Reasoning Retrieval-Augmented Multimodal Model for Fake News Detection Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos ExDR: Explanation-driven Dynamic Retrieval Enhancement for Multimodal Fake News
10
15.0
20.1
134% covered
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Automated Fact Checking and Claim Verification
examples
Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Ret Mitigating Adversarial Attacks by Transferring LLM-generated Narrative Reasoning R3Check: Reinforcement Learning for Iterative Retrieval and Structured Reasoning Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking SciCheck: Reasoning Distillation for Biomedical Claim Verification PurifAI: Detecting and Fixing Search-Induced Distortions in Web-Augmented LLMs
6
8.2
9.0
109% covered
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Multimodal Fake News Detection
examples
Mitigating Adversarial Attacks by Transferring LLM-generated Narrative Reasoning Retrieval-Augmented Multimodal Model for Fake News Detection Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos ExDR: Explanation-driven Dynamic Retrieval Enhancement for Multimodal Fake News Deja Vu in Plots: Leveraging Cross-Session Evidence with Retrieval-Augmented LLM
5
6.8
10.3
152% covered
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Others
0
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0.8
no submission here 0.8 reviews to spare
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Conversational and Interactive Search
examples
A Comparative Study of Users' Information-Seeking Practices Across Search Engine Do Simulated Users Need to Remember? Analyzing the Impact of Memory Models in Co FACE: A Fine-Grained Reference-Free Evaluator for Conversational Information Acc NeurPIU: Neurobiologically Inspired Personalized Intent Understanding in Large L When and How to Ask: Dynamic Preference Elicitation Strategies for Conversationa Dynamic Memory Forest: Constructing and Tracing Conversational Trajectories for
8
13.5
13.4
99% tight · 0.1 short
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Conversational Search and Retrieval
examples
NeurPIU: Neurobiologically Inspired Personalized Intent Understanding in Large L Dynamic Memory Forest: Constructing and Tracing Conversational Trajectories for Recasting Web-Scale Query Suggestion as dense retrieval: Efficient, Up-to-Date,
3
6.0
6.4
107% covered
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User Simulation for Interactive Systems
examples
Do Simulated Users Need to Remember? Analyzing the Impact of Memory Models in Co Task-Aware Automated User Profile Generation for Recommendation Simulation Using
2
3.0
2.1
69% tight · 0.9 short
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Interactive Information Seeking and Evaluation
examples
A Comparative Study of Users' Information-Seeking Practices Across Search Engine FACE: A Fine-Grained Reference-Free Evaluator for Conversational Information Acc
2
3.0
2.4
78% tight · 0.6 short
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Conversational Recommendation Systems
examples
When and How to Ask: Dynamic Preference Elicitation Strategies for Conversationa
1
1.5
2.4
158% covered
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Others
0
—
0.2
no submission here 0.2 reviews to spare
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Social Media and User Modelling
examples
Debiased Multimodal Personality Understanding through Dual Causal Intervention Depression Detection from Social Media: A Mutual Guidance Multi-modal Network wi Improving Interpretability of Cognitive Diagnosis Models with LLM-based Semantic Mitigating Adversarial Attacks by Transferring LLM-generated Narrative Reasoning SNBot: Modeling Self-Neighborhood Representation Discrepancy for Social Bot Dete Inductive Dual-Polarity Modeling via Static-Dynamic Disentanglement for Dynamic
6
13.5
3.9
29% 9.6 reviews short
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Advertising and Auction Mechanisms
examples
Generative Bid Shading in Real-Time Bidding Advertising Generative Auto-Bidding with Unified Modeling and Exploration TAR: Generative Auto-Bidding and Budget Pacing via Multi-Scale Trajectory Modeli Optimizing Marketing Subsidies via Counterfactual Learning with Asymmetric Rewar
4
12.0
14.3
119% covered
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Text Representation and Language Models
examples
From Tokens to Concepts: Leveraging SAE for SPLADE Looking for the Bottleneck in Fine-grained Temporal Relation Classification Modular Representation Compression: Adapting LLM Representations for Efficient a MUDY: Multi-Granular Dynamic Candidate Contextualization for Unsupervised Keyphr Scaling Laws for Embedding Dimension in Information Retrieval Why Advanced Encoders Lag on Sparse Retrieval? The Answer and an Approach to Bri
6
12.0
22.3
186% covered
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Language Model Pre-training and Adaptation
examples
Looking for the Bottleneck in Fine-grained Temporal Relation Classification MUDY: Multi-Granular Dynamic Candidate Contextualization for Unsupervised Keyphr
2
6.0
13.0
216% covered
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Text Embedding and Representation Learning
examples
Modular Representation Compression: Adapting LLM Representations for Efficient a Scaling Laws for Embedding Dimension in Information Retrieval
2
3.0
4.3
143% covered
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Sparse and Dense Retrieval Encoders
examples
From Tokens to Concepts: Leveraging SAE for SPLADE Why Advanced Encoders Lag on Sparse Retrieval? The Answer and an Approach to Bri
2
3.0
2.2
73% tight · 0.8 short
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Others
0
—
2.9
no submission here 2.9 reviews to spare
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Others
examples
HCPRA: A Hierarchical Cognition-Perception-Reasoning Agent Framework for Emotion SynDiSC: High-Quality Tabular Data Synthesis with Distributional and Semantic Co Seeing the Whole Through the Parts: Discovering Objects through Semantic Part Mi
3
9.0
19.7
219% covered