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Jun Zhao

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

85 papers at tracked venues · 61 at CORE A* · active 2024–2026

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Venues

ACL ×43EMNLP ×17AAAI ×10ICLR ×4NAACL ×4NeurIPS ×3CIKM ×1ICDE ×1IJCAI ×1ISWC ×1

Frequent coauthors

Xiaowei Yuan
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Tianyi Men
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Zhuoran Jin
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Kun Luo
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Huanxuan Liao
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Yuheng Chen
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Jiachun Li
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Sirui Liang
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Xiusheng Huang
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Yupu Hao
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Tong Zhou
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Chenxi Zhou
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Papers

  1. Bias-Restrained Prefix Representation Finetuning for Mathematical Reasoning
    AAAI 2026 ·
    Sirui Liang
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  2. Break Through the Compression Bottleneck: From Theory to Practice
    ACL 2026 ·
    Xiusheng Huang
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  3. Efficient Prior-Guided Reasoning for Robust Retrieval-Augmented Generation under Conflicts
    ACL 2026 ·
    Xiaowei Yuan
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  4. Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning
    ACL 2026 ·
    Tianyi Men
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  5. From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization
    ACL 2026 ·
    Chenxi Zhou
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  6. GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks
    ACL 2026 ·
    Jianwen Luo
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  7. Harmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMs
    ACL 2026 ·
    Jinhui Chen
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  8. LANTERN in the Event Stream: Training-Free Temporal Knowledge Graph Forecasting by Balancing Inertia and Shifts
    ACL 2026 ·
    Chengyuan Jin
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  9. Learning How to Remember: A Meta-Cognitive Management Method for Structured and Transferable Agent Memory
    ACL 2026 ·
    Sirui Liang
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  10. Lightweight Haar Wavelet Subband Pruning for LLMs
    ACL 2026 ·
    Jiang Li
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  11. Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do
    ACL 2026 ·
    Zhuoran Jin
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  12. Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation
    ACL 2026 ·
    Yupu Hao
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  13. Reinforcing Agentic Search Via Reward Density Optimization
    ACL 2026 ·
    Kun Luo
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  14. RetroLM: Retrieval-Augmented KVs for Long-Context Processing
    AAAI 2026 ·
    Kun Luo
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  15. R³A: Reinforced Reasoning for Relevance Assessment for RAG in User-Generated Content Platforms
    ACL 2026 ·
    Xiaowei Yuan
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  16. Shuttle Between Symbolic Instructions and Neural Parameters of Large Language Models
    ACL 2026 ·
    Wangtao Sun
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  17. SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning
    AAAI 2026 ·
    Huanxuan Liao
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  18. Spectral Disentanglement: Rank-Aware Task Adaptation for Rehearsal-free Continual Learning in LLMs
    ACL 2026 ·
    Huanxuan Liao
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  19. TaREx: Reinforcement Learning for Code-Driven Table Reasoning
    AAAI 2026 ·
    Fangyu Lei
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  20. Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
    ACL 2026 ·
    Chenxi Zhou
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  21. Towards Explainable Diagnosis: A Self-learned Explanatory Knowledge Base Approach
    ACL 2026 ·
    Dongqi Huang
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  22. A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns
    ACL 2025 ·
    Tianyi Men
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  23. Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents
    ACL 2025 ·
    Tianyi Men
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  24. CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance
    AAAI 2025 ·
    Yupu Hao
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  25. Capability Localization: Capabilities Can be Localized rather than Individual Knowledge
    ICLR 2025 ·
    Xiusheng Huang
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  26. CiteLab: Developing and Diagnosing LLM Citation Generation Workflows via the Human-LLM Interaction
    ACL 2025 ·
    Jiajun Shen
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  27. CogNet3: Fusing Dynamic Emotional Knowledge of Personality Homophilous Groups in Real-World Events into Multi-Source Knowledge Graph
    ISWC 2025 ·
    Tong Zhou
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  28. Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models
    ACL 2025 ·
    Yuheng Chen
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  29. DTELS: Towards Dynamic Granularity of Timeline Summarization
    NAACL 2025 ·
    Chenlong Zhang
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  30. Enhancing Large Language Models with Pseudo-and Multisource-Knowledge Graphs for Open-ended Question Answering
    ICDE 2025 ·
    Jiaxiang Liu
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  31. Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis
    ACL 2025 ·
    Kejian Zhu
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  32. Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity
    ACL 2025 ·
    Yupu Hao
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  33. Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement
    ACL 2025 ·
    Xiaowei Yuan
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  34. Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate
    ACL 2025 ·
    Ziyang Huang
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  35. KMatrix-2: A Comprehensive Heterogeneous Knowledge Collaborative Enhancement Toolkit for Large Language Model
    EMNLP 2025 ·
    Shun Wu
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  36. Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models
    ACL 2025 ·
    Jiaxiang Liu
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  37. Knowledge Localization: Mission Not Accomplished? Enter Query Localization!
    ICLR 2025 ·
    Yuheng Chen
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  38. Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models
    AAAI 2025 ·
    Chenhui Hu
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  39. LLaSA: Large Language and Structured Data Assistant
    NAACL 2025 ·
    Yao Xu
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  40. M2Edit: Locate and Edit Multi-Granularity Knowledge in Multimodal Large Language Model
    EMNLP 2025 ·
    Yang Zhou
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  41. MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
    ICLR 2025 ·
    Jiachun Li
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  42. MotivGraph-SoIQ: Integrating Motivational Knowledge Graphs and Socratic Dialogue for Enhanced LLM Ideation
    EMNLP 2025 ·
    Xinping Lei
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  43. My Words Imply Your Opinion: Reader Agent-Based Propagation Enhancement for Personalized Implicit Emotion Analysis
    ACL 2025 ·
    Jian Liao
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  44. Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models
    ACL 2025 ·
    Yuqiao Tan
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  45. Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
    AAAI 2025 ·
    Huanxuan Liao
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  46. RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
    ACL 2025 ·
    Zhuoran Jin
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  47. RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality
    NeurIPS 2025 ·
    Chenlong Zhang
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  48. Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing
    ACL 2025 ·
    Jiakuan Xie
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  49. Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval
    ACL 2025 ·
    Jiabei Chen
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  50. The Knowledge Microscope: Features as Better Analytical Lenses than Neurons
    ACL 2025 ·
    Yuheng Chen
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  51. Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness
    ACL 2025 ·
    Jiachun Li
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  52. Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
    AAAI 2025 ·
    Hongbang Yuan
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  53. Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation
    ACL 2025 ·
    Jiajun Shen
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  54. Why and How LLMs Benefit from Knowledge Introspection in Commonsense Reasoning
    EMNLP 2025 ·
    Chengfeng Zhao
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  55. A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction
    AAAI 2024 ·
    Ruili Pu
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  56. ABSEval: An Agent-based Framework for Script Evaluation
    EMNLP 2024 ·
    Sirui Liang
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  57. AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation
    EMNLP 2024 ·
    Zhitao He
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  58. CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph
    ACL 2024 ·
    Tong Zhou
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  59. Commonsense Knowledge Editing Based on Free-Text in LLMs
    EMNLP 2024 ·
    Xiusheng Huang
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  60. Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
    ACL 2024 ·
    Zhuoran Jin
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  61. DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
    EMNLP 2024 ·
    Yiming Huang
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  62. Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint
    ACL 2024 ·
    Xiaowei Yuan
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  63. Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models
    CIKM 2024 ·
    Yifan Wei
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  64. Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning
    ACL 2024 ·
    Jiachun Li
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  65. From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
    NeurIPS 2024 ·
    Huanxuan Liao
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  66. Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering
    EMNLP 2024 ·
    Yao Xu
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  67. Improving Zero-shot LLM Re-Ranker with Risk Minimization
    EMNLP 2024 ·
    Xiaowei Yuan
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  68. Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization
    EMNLP 2024 ·
    Zhiqi Wang
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  69. ItD: Large Language Models Can Teach Themselves Induction through Deduction
    ACL 2024 ·
    Wangtao Sun
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  70. Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons
    AAAI 2024 ·
    Yuheng Chen
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  71. KMatrix: A Flexible Heterogeneous Knowledge Enhancement Toolkit for Large Language Model
    EMNLP 2024 ·
    Shun Wu
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  72. LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning
    EMNLP 2024 ·
    Jiachun Li
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  73. Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
    ACL 2024 ·
    Kun Luo
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  74. Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment
    EMNLP 2024 ·
    Kun Luo
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  75. MULFE: A Multi-Level Benchmark for Free Text Model Editing
    ACL 2024 ·
    Chenhao Wang
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  76. Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
    ICLR 2024 ·
    Yixuan Weng
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  77. Oasis: Data Curation and Assessment System for Pretraining of Large Language Models
    IJCAI 2024 ·
    Tong Zhou
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  78. On the In-context Generation of Language Models
    EMNLP 2024 ·
    Zhongtao Jiang
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  79. RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
    NeurIPS 2024 ·
    Zhuoran Jin
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  80. S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model
    NAACL 2024 ·
    Fangyu Lei
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  81. Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering
    ACL 2024 ·
    Xiang Li
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  82. Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models
    EMNLP 2024 ·
    Tianyi Men
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  83. Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models
    EMNLP 2024 ·
    Hongbang Yuan
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  84. WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing
    ACL 2024 ·
    Chenhui Hu
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  85. ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models
    NAACL 2024 ·
    Pengfan Du
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