Li Du

Venues

Frequent coauthors

Papers

1. Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration
   ACL 2026 ·

   Yang Zhao

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2. Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation
   AAAI 2026 ·

   Rongyu Zhang

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3. LLMs Know More About Numbers than They Can Say
   EACL 2026 ·

   Fengting Yuchi

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4. Large Language Models Are Still Misled by Simple Bias Ensembles
   ACL 2026 ·

   Zhouhao Sun

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5. MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization
   ACL 2026 ·

   Yang Zhao

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6. MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation
   AAAI 2026 ·

   Rongyu Zhang

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7. Scaling Towards the Information Boundary of Instructions through Data Synthesizing
   AAAI 2026 · Li Du
8. Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns
   ACL 2025 ·

   Yang Zhao

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9. Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency
   AAAI 2025 ·

   Hanyu Zhao

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10. Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection
    ACL 2025 ·

    Yang Zhao

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11. Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models
    ACL 2025 ·

    Kai Xiong

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12. FBQuant: FeedBack Quantization for Large Language Models
    IJCAI 2025 ·

    Yijiang Liu

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13. PAT: Pruning-Aware Tuning for Large Language Models
    AAAI 2025 ·

    Yijiang Liu

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14. SliceOcc: Indoor 3D Semantic Occupancy Prediction with Vertical Slice Representation
    ICRA 2025 ·

    Jianing Li

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15. SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
    ICLR 2025 ·

    Xingrun Xing

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16. Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs
    NeurIPS 2025 ·

    Yifan Wei

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17. Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
    ICLR 2025 ·

    João Loula

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18. Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch
    EMNLP 2025 ·

    Yirong Zeng

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19. UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection
    NeurIPS 2025 ·

    Yang Zhao

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20. BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials
    AAAI 2024 ·

    Xingrun Xing

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21. Causal-Guided Active Learning for Debiasing Large Language Models
    ACL 2024 ·

    Zhouhao Sun

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22. Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning
    ACL 2024 ·

    Yang Zhao

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23. Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges
    ACL 2024 ·

    Xiaoming Shi

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24. Principled Gradient-Based MCMC for Conditional Sampling of Text
    ICML 2024 · Li Du
25. PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought
    CVPR 2024 ·

    Junyi Yao

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26. SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic
    ICML 2024 ·

    Liulu He

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27. VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness
    ACM MM 2024 ·

    Rongyu Zhang

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28. When is a Language Process a Language Model?
    ACL 2024 · Li Du