Bei Li

Venues

Frequent coauthors

Papers

1. BAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search
   ACL 2026 ·

   Shiyu Liu

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2. GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning
   AAAI 2026 ·

   Chenglong Wang

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3. LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance
   ACL 2026 ·

   Yuchun Fan

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4. MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks
   ACL 2026 ·

   Junhao Ruan

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5. NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs
   ACL 2026 ·

   Yingfeng Luo

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6. On the Emotion Understanding of Synthesized Speech
   ACL 2026 ·

   Yuan Ge

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7. Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
   AAAI 2026 ·

   Chenglong Wang

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8. RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment
   ACL 2026 ·

   Yingfeng Luo

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9. SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement
   AAAI 2026 ·

   Yuan Ge

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10. Tuning Medical Foundation Models for Inner Ear Temporal CT Analysis with Plug-and-play Domain Knowledge Aggregator
    AAAI 2026 ·

    Weixun Wan

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11. Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation
    ACL 2025 ·

    Yingfeng Luo

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12. Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective
    ICLR 2025 ·

    Ruichen Shao

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13. GRAM: A Generative Foundation Reward Model for Reward Generalization
    ICML 2025 ·

    Chenglong Wang

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14. IIET: Efficient Numerical Transformer via Implicit Iterative Euler Method
    EMNLP 2025 ·

    Xinyu Liu

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15. Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models
    EMNLP 2025 ·

    Yuchun Fan

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16. MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization
    NeurIPS 2025 ·

    Chenglong Wang

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17. ReMamba: Equip Mamba with Effective Long-Sequence Modeling
    EMNLP 2025 ·

    Danlong Yuan

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18. Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching
    ACL 2025 ·

    Jianfei Zhang

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19. TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making
    EMNLP 2025 ·

    Kechen Jiao

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20. Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation
    EMNLP 2024 ·

    Yuan Ge

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21. CodeAgent: Autonomous Communicative Agents for Code Review
    EMNLP 2024 ·

    Xunzhu Tang

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22. Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
    ICLR 2024 ·

    Qingyan Guo

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23. EIT: Enhanced Interactive Transformer
    ACL 2024 ·

    Tong Zheng

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24. ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation
    AAAI 2024 ·

    Chenglong Wang

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25. Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models
    EMNLP 2024 ·

    Xinyu Liu

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26. Hybrid Alignment Training for Large Language Models
    ACL 2024 ·

    Chenglong Wang

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27. PartialFormer: Modeling Part Instead of Whole for Machine Translation
    ACL 2024 ·

    Tong Zheng

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28. Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning
    NeurIPS 2024 · Bei Li
29. Revealing the Parallel Multilingual Learning within Large Language Models
    EMNLP 2024 ·

    Yongyu Mu

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30. Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models
    EMNLP 2024 ·

    Siqi Wang

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