PPaperPicks

Kang Liu

Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China

90 papers at tracked venues · 63 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Bias-Restrained Prefix Representation Finetuning for Mathematical Reasoning
  2. Break Through the Compression Bottleneck: From Theory to Practice
  3. EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization
  4. Efficient Prior-Guided Reasoning for Robust Retrieval-Augmented Generation under Conflicts
  5. Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning
  6. From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization
  7. GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks
  8. Harmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMs
  9. If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs
  10. LANTERN in the Event Stream: Training-Free Temporal Knowledge Graph Forecasting by Balancing Inertia and Shifts
  11. Learning How to Remember: A Meta-Cognitive Management Method for Structured and Transferable Agent Memory
  12. Lightweight Haar Wavelet Subband Pruning for LLMs
  13. Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do
  14. Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation
  15. Reinforcing Agentic Search Via Reward Density Optimization
  16. RetroLM: Retrieval-Augmented KVs for Long-Context Processing
  17. R³A: Reinforced Reasoning for Relevance Assessment for RAG in User-Generated Content Platforms
  18. Shuttle Between Symbolic Instructions and Neural Parameters of Large Language Models
  19. SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning
  20. Spectral Disentanglement: Rank-Aware Task Adaptation for Rehearsal-free Continual Learning in LLMs
  21. TaREx: Reinforcement Learning for Code-Driven Table Reasoning
  22. Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
  23. Theory-optimal Quantization Based on Flatness
  24. Towards Explainable Diagnosis: A Self-learned Explanatory Knowledge Base Approach
  25. A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns
  26. Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents
  27. Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models
  28. CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance
  29. Capability Localization: Capabilities Can be Localized rather than Individual Knowledge
  30. CiteLab: Developing and Diagnosing LLM Citation Generation Workflows via the Human-LLM Interaction
  31. CogNet3: Fusing Dynamic Emotional Knowledge of Personality Homophilous Groups in Real-World Events into Multi-Source Knowledge Graph
  32. Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models
  33. DTELS: Towards Dynamic Granularity of Timeline Summarization
  34. Enhancing Large Language Models with Pseudo-and Multisource-Knowledge Graphs for Open-ended Question Answering
  35. Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity
  36. Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement
  37. Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate
  38. KMatrix-2: A Comprehensive Heterogeneous Knowledge Collaborative Enhancement Toolkit for Large Language Model
  39. Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models
  40. Knowledge Localization: Mission Not Accomplished? Enter Query Localization!
  41. Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models
  42. LLaSA: Large Language and Structured Data Assistant
  43. M2Edit: Locate and Edit Multi-Granularity Knowledge in Multimodal Large Language Model
  44. MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
  45. MotivGraph-SoIQ: Integrating Motivational Knowledge Graphs and Socratic Dialogue for Enhanced LLM Ideation
  46. Multilingual Knowledge Graph Completion via Efficient Multilingual Knowledge Sharing
  47. Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models
  48. Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
  49. RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
  50. RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality
  51. Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing
  52. Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval
  53. The Knowledge Microscope: Features as Better Analytical Lenses than Neurons
  54. Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness
  55. Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
  56. Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation
  57. Why and How LLMs Benefit from Knowledge Introspection in Commonsense Reasoning
  58. ABSEval: An Agent-based Framework for Script Evaluation
  59. AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation
  60. CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph
  61. Commonsense Knowledge Editing Based on Free-Text in LLMs
  62. Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
  63. DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
  64. Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint
  65. Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models
  66. Does Large Language Model Contain Task-Specific Neurons?
  67. Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning
  68. From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
  69. Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering
  70. Improving Zero-shot LLM Re-Ranker with Risk Minimization
  71. Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization
  72. ItD: Large Language Models Can Teach Themselves Induction through Deduction
  73. Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons
  74. KMatrix: A Flexible Heterogeneous Knowledge Enhancement Toolkit for Large Language Model
  75. LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning
  76. Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
  77. Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment
  78. MULFE: A Multi-Level Benchmark for Free Text Model Editing
  79. Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
  80. ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model
  81. Oasis: Data Curation and Assessment System for Pretraining of Large Language Models
  82. On the In-context Generation of Language Models
  83. RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
  84. Reasons and Solutions for the Decline in Model Performance after Editing
  85. S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model
  86. Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering
  87. Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models
  88. Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models
  89. WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing
  90. ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models