PPaperPicks

Zhumin Chen

36 papers at tracked venues · 25 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. MCoT-MVS: Multi-level Vision Selection by Multi-modal Chain-of-Thought Reasoning for Composed Image Retrieval
  2. R2NS: Recall and Re-ranking of Negative Samples for Sequential Recommendation
  3. Reinforced Efficient Reasoning via Semantically Diverse Exploration
  4. Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse
  5. Table Question Answering via Adaptive Routing
  6. A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
  7. Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks
  8. Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems
  9. Constrained Auto-Regressive Decoding Constrains Generative Retrieval
  10. ExcluIR: Exclusionary Neural Information Retrieval
  11. Exploration and Exploitation of Hard Negative Samples for Cross-Domain Sequential Recommendation
  12. Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure
  13. KELE: Residual Knowledge Erasure for Enhanced Multi-hop Reasoning in Knowledge Editing
  14. Malevolence Attacks Against Pretrained Dialogue Models
  15. Offline Trajectory Optimization for Offline Reinforcement Learning
  16. Replication and Exploration of Generative Retrieval over Dynamic Corpora
  17. Sliced Wasserstein Bridge for Open-Vocabulary Video Instance Segmentation
  18. Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization
  19. Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents
  20. Trustworthy Medical Question Answering: An Evaluation-Centric Survey
  21. UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets
  22. Uncovering Overfitting in Large Language Model Editing
  23. Video Instance Segmentation by Weighted Structure Inference
  24. Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality
  25. Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
  26. Content-Based Collaborative Generation for Recommender Systems
  27. Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure
  28. Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
  29. Generative News Recommendation
  30. Generative Retrieval as Multi-Vector Dense Retrieval
  31. KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
  32. Knowledge Graph Enhanced Large Language Model Editing
  33. MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
  34. MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
  35. On the Effectiveness of Unlearning in Session-Based Recommendation
  36. Self-Supervised Position Debiasing for Large Language Models