Yongyu Mu

According to our database, Yongyu Mu authored at least 28 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering.

Yilin Wang, Yuchun Fan, Jiaoyang Li, Ziming Zhu, Yongyu Mu, Qiaozhi He, Tong Xiao, Jingbo Zhu

CoRR, March, 2026

Offline Exploration-Aware Fine-Tuning for Long-Chain Mathematical Reasoning.

Yongyu Mu, Jiali Zeng, Fandong Meng, JingBo Zhu, Tong Xiao

CoRR, March, 2026

Cross-layer Attention Sharing for Pre-trained Large Language Models.

Yongyu Mu, Yuzhang Wu, Yuchun Fan, Chenglong Wang, Hengyu Li, Jiali Zeng, Qiaozhi He, Murun Yang, Fandong Meng, Jie Zhou, Tong Xiao, Jingbo Zhu

Trans. Assoc. Comput. Linguistics, 2026

LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance.

Yuchun Fan, Bei Li, Peiguang Li, Yilin Wang, Yongyu Mu, Jian Yang, Xin Chen, Rongxiang Weng, Jingang Wang, Xunliang Cai, JingBo Zhu, Tong Xiao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization.

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

CoRR, October, 2025

GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning.

Chenglong Wang, Yongyu Mu, Hang Zhou, Yifu Huo, Ziming Zhu, Jiali Zeng, Murun Yang, Bei Li, Tong Xiao, Xiaoyang Hao, Chunliang Zhang, Fandong Meng, Jingbo Zhu

CoRR, September, 2025

Dissecting Long Reasoning Models: An Empirical Study.

Yongyu Mu, Jiali Zeng, Bei Li, Xinyan Guan, Fandong Meng, Jie Zhou, Tong Xiao, Jingbo Zhu

CoRR, June, 2025

GRAM: A Generative Foundation Reward Model for Reward Generalization.

Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Tong Xiao, Chunliang Zhang, Tongran Liu, JingBo Zhu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models.

Yongyu Mu, Hengyu Li, Junxin Wang, Xiaoxuan Zhou, Chenglong Wang, Yingfeng Luo, Qiaozhi He, Tong Xiao, Guocheng Chen, Jingbo Zhu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models.

Yuchun Fan, Yilin Wang, Yongyu Mu, Lei Huang, Bei Li, Xiaocheng Feng, Tong Xiao, JingBo Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment.

Yuchun Fan, Yongyu Mu, Yilin Wang, Lei Huang, Junhao Ruan, Bei Li, Tong Xiao, Shujian Huang, Xiaocheng Feng, Jingbo Zhu

Proceedings of the 31st International Conference on Computational Linguistics, 2025

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

Yingfeng Luo, Tong Zheng, Yongyu Mu, Bei Li, Qinghong Zhang, Yongqi Gao, Ziqiang Xu, Peinan Feng, Xiaoqian Liu, Tong Xiao, JingBo Zhu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data.

Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

LRHP: Learning Representations for Human Preferences via Preference Pairs.

Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu

CoRR, 2024

RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data.

Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Quan Du, Di Yang, Jingbo Zhu

CoRR, 2024

Cross-layer Attention Sharing for Large Language Models.

Yongyu Mu, Yuzhang Wu, Yuchun Fan, Chenglong Wang, Hengyu Li, Qiaozhi He, Murun Yang, Tong Xiao, Jingbo Zhu

CoRR, 2024

Large Language Models are Parallel Multilingual Learners.

Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, Jingbo Zhu

CoRR, 2024

Revealing the Parallel Multilingual Learning within Large Language Models.

Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, JingBo Zhu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Translate-and-Revise: Boosting Large Language Models for Constrained Translation.

Pengcheng Huang, Yongyu Mu, Yuzhang Wu, Bei Li, Chunyang Xiao, Tong Xiao, Jingbo Zhu

Proceedings of the Chinese Computational Linguistics - 23rd China National Conference, 2024

Hybrid Alignment Training for Large Language Models.

Chenglong Wang, Hang Zhou, Kaiyan Chang, Bei Li, Yongyu Mu, Tong Xiao, Tongran Liu, JingBo Zhu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Augmenting Large Language Model Translators via Translation Memories.

Yongyu Mu, Abudurexiti Reheman, Zhiquan Cao, Yuchun Fan, Bei Li, Yinqiao Li, Tong Xiao, Chunliang Zhang, Jingbo Zhu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection.

Chenglong Wang, Yi Lu, Yongyu Mu, Yimin Hu, Tong Xiao, Jingbo Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

The NiuTrans System for the WMT21 Efficiency Task.

Chenglong Wang, Chi Hu, Yongyu Mu, Zhongxiang Yan, Siming Wu, Minyi Hu, Hang Cao, Bei Li, Ye Lin, Tong Xiao, Jingbo Zhu

CoRR, 2021

The NiuTrans Machine Translation Systems for WMT21.

Shuhan Zhou, Tao Zhou, Binghao Wei, Yingfeng Luo, Yongyu Mu, Zefan Zhou, Chenglong Wang, Xuanjun Zhou, Chuanhao Lv, Yi Jing, Laohu Wang, Jingnan Zhang, Canan Huang, Zhongxiang Yan, Chi Hu, Bei Li, Tong Xiao, Jingbo Zhu

Proceedings of the Sixth Conference on Machine Translation, 2021

The NiuTrans System for the WMT 2021 Efficiency Task.

Chenglong Wang, Chi Hu, Yongyu Mu, Zhongxiang Yan, Siming Wu, Yimin Hu, Hang Cao, Bei Li, Ye Lin, Tong Xiao, Jingbo Zhu

Proceedings of the Sixth Conference on Machine Translation, 2021

2020

The NiuTrans Machine Translation Systems for WMT20.

Yuhao Zhang, Ziyang Wang, Runzhe Cao, Binghao Wei, Weiqiao Shan, Shuhan Zhou, Abudurexiti Reheman, Tao Zhou, Xin Zeng, Laohu Wang, Yongyu Mu, Jingnan Zhang, Xiaoqian Liu, Xuanjun Zhou, Yinqiao Li, Bei Li, Tong Xiao, Jingbo Zhu

Proceedings of the Fifth Conference on Machine Translation, 2020