PPaperPicks

Zhaochun Ren

Leiden University, The Netherlands

61 papers at tracked venues · 37 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part I
  2. Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part II
  3. Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part III
  4. Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part IV
  5. AgentSearch: Indexing, Retrieval, and Ranking of AI Agents
  6. Differentiable Semantic ID for Generative Recommendation
  7. Generative Retrieval with Few-Shot Indexing
  8. Have We Really Understood Collaborative Information? An Empirical Investigation
  9. Model Editing for New Document Integration in Generative Information Retrieval
  10. R2NS: Recall and Re-ranking of Negative Samples for Sequential Recommendation
  11. Reinforced Efficient Reasoning via Semantically Diverse Exploration
  12. ReportLogic: Evaluating Logical Quality in Deep Research Reports
  13. Social Welfare Function Leaderboard: On the Emergence of LLM Agents as the Welfare Dictator
  14. The Third Search Futures Workshop at ECIR'26
  15. Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
  16. A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
  17. A Token is Worth over 1, 000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone
  18. Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks
  19. Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems
  20. Constrained Auto-Regressive Decoding Constrains Generative Retrieval
  21. Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
  22. Enhancing RAG Efficiency with Adaptive Context Compression
  23. ExcluIR: Exclusionary Neural Information Retrieval
  24. FULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking
  25. Fine-Grained Emotion Recognition via In-Context Learning
    CIKM 2025 · Zhaochun Ren
  26. Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure
  27. Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
  28. MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
  29. Malevolence Attacks Against Pretrained Dialogue Models
  30. Model Meets Knowledge: Analyzing Knowledge Types for Conversational Recommender Systems
  31. Offline Trajectory Optimization for Offline Reinforcement Learning
  32. OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs
  33. ProActLLM: Proactive Conversational Information Seeking with Large Language Models
  34. Replication and Exploration of Generative Retrieval over Dynamic Corpora
  35. Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
  36. SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
  37. Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization
  38. The 1st Workshop on Human-Centered Recommender Systems
  39. The 1st Workshop on LLM Agents for Social Simulation
  40. The Second Search Futures Workshop at ECIR'25
  41. Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents
  42. UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets
  43. An Iterative Associative Memory Model for Empathetic Response Generation
  44. CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems
  45. Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
  46. Content-Based Collaborative Generation for Recommender Systems
  47. Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure
  48. Disentangling ID and Modality Effects for Session-based Recommendation
  49. Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
  50. Generative News Recommendation
  51. Generative Retrieval as Multi-Vector Dense Retrieval
  52. KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
  53. Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method
  54. Learning to Use Tools via Cooperative and Interactive Agents
  55. MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
  56. MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
  57. MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
  58. On the Effectiveness of Unlearning in Session-Based Recommendation
  59. Recent Advances in Generative Information Retrieval
  60. Self-Supervised Position Debiasing for Large Language Models
  61. Towards Empathetic Conversational Recommender Systems