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Yongyu Mu

10 papers at tracked venues · 8 at CORE A* · active 2024–2026

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Venues

AAAI ×3ACL ×3EMNLP ×2ICML ×1NeurIPS ×1

Frequent coauthors

JingBo Zhu
×10
Tong Xiao
×10
Bei Li
×9
Chenglong Wang
×7
Chunliang Zhang
×6
Tongran Liu
×6
Murun Yang
×5
Yifu Huo
×4
Yang Gan
×4
Hang Zhou
×3
Qiaozhi He
×3
Yuchun Fan
×2

Papers

  1. GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning
    AAAI 2026 ·
    Chenglong Wang
    , Yongyu Mu,
    Hang Zhou
    ,
    Yifu Huo
    ,
    Ziming Zhu
    ,
    Jiali Zeng
    ,
    Murun Yang
    ,
    Bei Li
    ,
    Xiaoyang Hao
    ,
    Chunliang Zhang
    ,
    Fandong Meng
    ,
    Jingbo Zhu
    ,
    Tong Xiao
  2. LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance
    ACL 2026 ·
    Yuchun Fan
    ,
    Bei Li
    ,
    Peiguang Li
    ,
    Yilin Wang
    , Yongyu Mu,
    Jian Yang
    ,
    Xin Chen
    ,
    Rongxiang Weng
    ,
    Jingang Wang
    ,
    Xunliang Cai
    ,
    JingBo Zhu
    ,
    Tong Xiao
  3. Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
    AAAI 2026 ·
    Chenglong Wang
    ,
    Yifu Huo
    ,
    Yang Gan
    , Yongyu Mu,
    Qiaozhi He
    ,
    Murun Yang
    ,
    Bei Li
    ,
    Chunliang Zhang
    ,
    Tongran Liu
    ,
    Anxiang Ma
    ,
    Zhengtao Yu
    ,
    Jingbo Zhu
    ,
    Tong Xiao
  4. Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation
    ACL 2025 ·
    Yingfeng Luo
    ,
    Tong Zheng
    , Yongyu Mu,
    Bei Li
    ,
    Qinghong Zhang
    ,
    Yongqi Gao
    ,
    Ziqiang Xu
    ,
    Peinan Feng
    ,
    Xiaoqian Liu
    ,
    Tong Xiao
    ,
    JingBo Zhu
  5. GRAM: A Generative Foundation Reward Model for Reward Generalization
    ICML 2025 ·
    Chenglong Wang
    ,
    Yang Gan
    ,
    Yifu Huo
    , Yongyu Mu,
    Qiaozhi He
    ,
    Murun Yang
    ,
    Bei Li
    ,
    Tong Xiao
    ,
    Chunliang Zhang
    ,
    Tongran Liu
    ,
    JingBo Zhu
  6. Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models
    EMNLP 2025 ·
    Yuchun Fan
    ,
    Yilin Wang
    , Yongyu Mu,
    Lei Huang
    ,
    Bei Li
    ,
    Xiaocheng Feng
    ,
    Tong Xiao
    ,
    JingBo Zhu
  7. MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization
    NeurIPS 2025 ·
    Chenglong Wang
    ,
    Yang Gan
    ,
    Hang Zhou
    ,
    Chi Hu
    , Yongyu Mu,
    Kai Song
    ,
    Murun Yang
    ,
    Bei Li
    ,
    Chunliang Zhang
    ,
    Tongran Liu
    ,
    JingBo Zhu
    ,
    Zhengtao Yu
    ,
    Tong Xiao
  8. RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data
    AAAI 2025 ·
    Chenglong Wang
    ,
    Yang Gan
    ,
    Yifu Huo
    , Yongyu Mu,
    Murun Yang
    ,
    Qiaozhi He
    ,
    Tong Xiao
    ,
    Chunliang Zhang
    ,
    Tongran Liu
    ,
    Jingbo Zhu
  9. Hybrid Alignment Training for Large Language Models
    ACL 2024 ·
    Chenglong Wang
    ,
    Hang Zhou
    ,
    Kaiyan Chang
    ,
    Bei Li
    , Yongyu Mu,
    Tong Xiao
    ,
    Tongran Liu
    ,
    JingBo Zhu
  10. Revealing the Parallel Multilingual Learning within Large Language Models
    EMNLP 2024 · Yongyu Mu,
    Peinan Feng
    ,
    Zhiquan Cao
    ,
    Yuzhang Wu
    ,
    Bei Li
    ,
    Chenglong Wang
    ,
    Tong Xiao
    ,
    Kai Song
    ,
    Tongran Liu
    ,
    Chunliang Zhang
    ,
    JingBo Zhu