PPaperPicks

Jun Xu

Renmin University of China, School of Information, Beijing Key Laboratory of Big Data Management and Analysis Methods, China

78 papers at tracked venues · 56 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Counteracting the Delayed Conversions in OCPC with Survival Analysis
  2. DLLM-Searcher: Adapting Diffusion Language Model for Efficient Search Agents
  3. Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience
  4. Disentangling from Collaborative and Semantic Views: Graph Collaborative Filtering for Q&A Recommendation
  5. Economic Perspectives on Fairness in Information Retrieval
  6. Efficient Paths and Dense Rewards: Probabilistic Flow Reasoning for Large Language Models
  7. Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management
  8. GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items
  9. KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation
  10. Large-Scale Online Learning for Generative List Recommendation in E-commerce: An Environment Policy Optimization Approach
  11. Learning to Retrieve from Agent Trajectories
  12. MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching
  13. Mining Informative Interests via Latent Cross Reasoning for Search Enhanced Recommendation
  14. QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors
  15. Room Matters: Dynamic Room-level Collaboration Information Modeling for Live Streaming Recommendation
  16. The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium
  17. Towards a Responsible Web: Economic Perspectives on Fairness in Information Retrieval
  18. Unveiling and Simulating Short-Video Addiction Behaviors via Economic Addiction Theory
  19. When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs
  20. AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization
  21. Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation
  22. Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning
  23. BordaRAG: Resolving Knowledge Conflict in Retrieval-Augmented Generation via Borda Voting Process
  24. Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
  25. Bridging Short Videos and Streamers with Multi-Graph Contrastive Learning for Live Streaming Recommendation
  26. CitaLaw: Enhancing LLM with Citations in Legal Domain
  27. Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop
  28. FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval
  29. Fairness in Information Retrieval from an Economic Perspective
  30. From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
  31. GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents
  32. GenSAR: Unifying Balanced Search and Recommendation with Generative Retrieval
  33. LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry
  34. LargePiG for Hallucination-Free Query Generation: Your Large Language Model is Secretly a Pointer Generator
  35. Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning
  36. Length-Induced Embedding Collapse in PLM-based Models
  37. MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment
  38. Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations
  39. Mitigating Source Bias with LLM Alignment
  40. MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation
  41. NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search
  42. Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
  43. PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization
  44. Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision
  45. ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding
  46. ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
  47. Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation
  48. Similarity = Value? Consultation Value-Assessment and Alignment for Personalized Search
  49. SyLeR: A Framework for Explicit Syllogistic Legal Reasoning in Large Language Models
  50. Test-Time Alignment with State Space Model for Tracking User Interest Shifts in Sequential Recommendation
  51. Towards Effective and Efficient Continual Pre-training of Large Language Models
  52. Trigger3: Refining Query Correction via Adaptive Model Selector
  53. Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics
  54. Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era
  55. Uplift-RAG: Uplift-Driven Knowledge Preference Alignment for Retrieval-Augmented Generation
  56. A Study of Implicit Ranking Unfairness in Large Language Models
  57. A Taxation Perspective for Fair Re-ranking
  58. Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era
  59. Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
  60. Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time
  61. Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce
  62. Effective In-Context Example Selection through Data Compression
  63. Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach
  64. FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval
  65. Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach
  66. Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images
  67. Large Language Models Enhanced Collaborative Filtering
  68. List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
  69. Modeling User Attention in Music Recommendation
  70. Neural Retrievers are Biased Towards LLM-Generated Content
  71. ReCODE: Modeling Repeat Consumption with Neural ODE
  72. Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy
  73. Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
  74. SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback
  75. To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process
  76. Towards Completeness-Oriented Tool Retrieval for Large Language Models
  77. Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
  78. UniSAR: Modeling User Transition Behaviors between Search and Recommendation