Jie Fu

Venues

Frequent coauthors

Papers

1. A Closer Look into Mixture-of-Experts in Large Language Models
   NAACL 2025 ·

   Ka Man Lo

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2. COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
   NAACL 2025 ·

   Yuelin Bai

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3. Enhancing Language Model Hypernetworks with Restart: A Study on Optimization
   NAACL 2025 ·

   Yihan Zhang

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4. Finite State Automata Inside Transformers with Chain-of-Thought: A Mechanistic Study on State Tracking
   ACL 2025 ·

   Yifan Zhang

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5. Huatuo-26M, a Large-scale Chinese Medical QA Dataset
   NAACL 2025 ·

   Xidong Wang

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6. Layerwise Recurrent Router for Mixture-of-Experts
   ICLR 2025 ·

   Zihan Qiu

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7. MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
   ICLR 2025 ·

   Lu Li

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8. MIO: A Foundation Model on Multimodal Tokens
   EMNLP 2025 ·

   Zekun Moore Wang

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9. MuPT: A Generative Symbolic Music Pretrained Transformer
   ICLR 2025 ·

   Xingwei Qu

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10. OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
    ACL 2025 ·

    Siming Huang

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11. PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment
    ACL 2025 ·

    Zekun Moore Wang

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12. T3D: Advancing 3D Medical Vision-Language Pre-Training by Learning Multi-View Visual Consistency
    ICCV 2025 ·

    Che Liu

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13. Thinker: Learning to Think Fast and Slow
    NeurIPS 2025 ·

    Stephen Chung

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14. VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text
    ICLR 2025 ·

    Tianyu Zhang

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15. AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
    ACL 2024 ·

    Jun Zhan

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16. AutoAgents: A Framework for Automatic Agent Generation
    IJCAI 2024 ·

    Guangyao Chen

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17. CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models
    ACL 2024 ·

    Yizhi Li

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18. Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
    ICLR 2024 ·

    Miao Xiong

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19. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
    ICLR 2024 ·

    Chi-Min Chan

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20. ChatMusician: Understanding and Generating Music Intrinsically with LLM
    ACL 2024 ·

    Ruibin Yuan

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21. D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models
    NeurIPS 2024 ·

    Haoran Que

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22. Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
    NAACL 2024 ·

    Shuai Zhao

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23. E2-LLM: Efficient and Extreme Length Extension of Large Language Models
    ACL 2024 ·

    Jiaheng Liu

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24. Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers
    ICLR 2024 ·

    Zihan Qiu

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25. HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts
    ACL 2024 ·

    Hao Zhao

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26. MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
    ICLR 2024 ·

    Yizhi Li

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27. Massive Editing for Large Language Models via Meta Learning
    ICLR 2024 ·

    Chenmien Tan

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28. OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
    ACL 2024 ·

    Tianyu Zheng

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29. PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness
    EMNLP 2024 ·

    Noah Wang

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30. ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks
    ACM MM 2024 ·

    Zejun Li

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31. RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
    ACL 2024 ·

    Noah Wang

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32. Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers
    AAAI 2024 ·

    Ruiyuan Zhang

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33. SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval
    ACL 2024 ·

    Siwei Wu

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34. Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training
    NeurIPS 2024 ·

    Wenyu Du

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35. Think Before You Act: Decision Transformers with Working Memory
    ICML 2024 ·

    Jikun Kang

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36. UniIR: Training and Benchmarking Universal Multimodal Information Retrievers
    ECCV 2024 ·

    Cong Wei

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37. Unlocking Continual Learning Abilities in Language Models
    EMNLP 2024 ·

    Wenyu Du

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38. Unlocking Emergent Modularity in Large Language Models
    NAACL 2024 ·

    Zihan Qiu

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