PPaperPicks

Xu Chen

Renmin University of China, China

52 papers at tracked venues · 43 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models
  2. Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation
  3. Explicit v.s. Implicit Memory: Exploring Multi-hop Complex Reasoning Over Personalized Information
  4. From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents
  5. Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement
  6. Optimizing Multi-Turn Interactive Recommendation Agents via Generative Intrinsic Motivation
  7. CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
  8. CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds
  9. Distributional LLM-as-a-Judge
  10. Enhancing Recommendation Explanations through User-Centric Refinement
  11. Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent
  12. GenSim: A General Social Simulation Platform with Large Language Model based Agents
  13. Improving Retrospective Language Agents via Joint Policy Gradient Optimization
  14. Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision
  15. KAPA: A Deliberative Agent Framework with Tree-Structured Knowledge Base for Multi-Domain User Intent Understanding
  16. KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
  17. LLM-Based Multi-Agent Systems are Scalable Graph Generative Models
  18. Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation
  19. MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework
  20. MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents
  21. MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents
  22. MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents
  23. MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants
  24. Optimal Transport for Time Series Imputation
  25. Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation
  26. RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems
  27. Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation
  28. Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task
  29. The 1st Workshop on LLM Agents for Social Simulation
  30. Time-o1: Time-Series Forecasting Needs Transformed Label Alignment
  31. Towards Effective and Efficient Continual Pre-training of Large Language Models
  32. TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System
  33. Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
  34. Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback
  35. A Tutorial on Feature Interpretation in Recommender Systems
  36. Causally Debiased Time-aware Recommendation
  37. Debiased Collaborative Filtering with Kernel-Based Causal Balancing
  38. Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
  39. Large Language Model Powered Agents for Information Retrieval
  40. Large Language Model Powered Agents in the Web
  41. Large Language Model-based Human-Agent Collaboration for Complex Task Solving
  42. Natural Language Explainable Recommendation with Robustness Enhancement
  43. Policy-Based Bayesian Active Causal Discovery with Deep Reinforcement Learning
  44. Reflective Multi-Agent Collaboration based on Large Language Models
  45. Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
  46. See or Guess: Counterfactually Regularized Image Captioning
  47. Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System
  48. Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
  49. Towards Tool Use Alignment of Large Language Models
  50. Uncovering the Propensity Identification Problem in Debiased Recommendations
  51. Understanding Human Preferences: Towards More Personalized Video to Text Generation
  52. Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework