The NiuTrans System for WNGT 2020 Efficiency Task. - Chi Hu; Bei Li; Yinqiao Li; Ye Lin; Yanyang Li; Chenglong Wang 002; Tong Xiao; Jingbo Zhu (NGT@ACL, 2020)

The NiuTrans System for the WMT20 Quality Estimation Shared Task. - Chi Hu; Hui Liu; Kai Feng; Chen Xu 008; Nuo Xu; Zefan Zhou; Shiqin Yan; Yingfeng Luo; Chenglong Wang 002; Xia Meng; Tong Xiao; Jingbo Zhu (WMT@EMNLP, 2020)

RankNAS: Efficient Neural Architecture Search by Pairwise Ranking. - Chi Hu; Chenglong Wang 002; Xiangnan Ma; Xia Meng; Yinqiao Li; Tong Xiao; Jingbo Zhu; Changliang Li (EMNLP (1), 2021)

The NiuTrans System for the WMT 2021 Efficiency Task. - Chenglong Wang 002; Chi Hu; Yongyu Mu; Zhongxiang Yan; Siming Wu; Yimin Hu; Hang Cao; Bei Li; Ye Lin; Tong Xiao; Jingbo Zhu (WMT@EMNLP, 2021)

The NiuTrans Machine Translation Systems for WMT21. - Shuhan Zhou; Tao Zhou; Binghao Wei; Yingfeng Luo; Yongyu Mu; Zefan Zhou; Chenglong Wang 002; Xuanjun Zhou; Chuanhao Lv; Yi Jing; Laohu Wang; Jingnan Zhang; et al. (WMT@EMNLP, 2021)

The NiuTrans System for the WMT21 Efficiency Task. - Chenglong Wang 002; Chi Hu; Yongyu Mu; Zhongxiang Yan; Siming Wu; Minyi Hu; Hang Cao; Bei Li; Ye Lin; Tong Xiao; Jingbo Zhu (CoRR, 2021)

Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection. - Chenglong Wang 002; Yi Lu; Yongyu Mu; Yimin Hu; Tong Xiao; Jingbo Zhu (EMNLP (Findings), 2022)

Learning Evaluation Models from Large Language Models for Sequence Generation. - Chenglong Wang 002; Hang Zhou; Kaiyan Chang; Tongran Liu; Chunliang Zhang; Quan Du; Tong Xiao; Jingbo Zhu (CoRR, 2023)

ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation. - Chenglong Wang 002; Hang Zhou; Yimin Hu; Yifu Huo; Bei Li; Tongran Liu; Tong Xiao; Jingbo Zhu (AAAI, 2024)

Hybrid Alignment Training for Large Language Models. - Chenglong Wang 002; Hang Zhou; Kaiyan Chang; Bei Li; Yongyu Mu; Tong Xiao; Tongran Liu; JingBo Zhu (ACL (Findings), 2024)

Prior Constraints-Based Reward Model Training for Aligning Large Language Models. - Hang Zhou; Chenglong Wang 002; Yimin Hu; Tong Xiao; Chunliang Zhang; Jingbo Zhu (CCL, 2024)

Revealing the Parallel Multilingual Learning within Large Language Models. - Yongyu Mu; Peinan Feng; Zhiquan Cao; Yuzhang Wu; Bei Li; Chenglong Wang 002; Tong Xiao; Kai Song; Tongran Liu; Chunliang Zhang; JingBo Zhu (EMNLP, 2024)

Large Language Models are Parallel Multilingual Learners. - Yongyu Mu; Peinan Feng; Zhiquan Cao; Yuzhang Wu; Bei Li; Chenglong Wang 002; Tong Xiao; Kai Song; Tongran Liu; Chunliang Zhang; Jingbo Zhu (CoRR, 2024)

Efficient Prompting Methods for Large Language Models: A Survey. - Kaiyan Chang; Songcheng Xu; Chenglong Wang 002; Yingfeng Luo; Tong Xiao; Jingbo Zhu (CoRR, 2024)

Cross-layer Attention Sharing for Large Language Models. - Yongyu Mu; Yuzhang Wu; Yuchun Fan; Chenglong Wang 002; Hengyu Li; Qiaozhi He; Murun Yang; Tong Xiao; Jingbo Zhu (CoRR, 2024)

RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data. - Chenglong Wang 002; Yang Gan; Yifu Huo; Yongyu Mu; Murun Yang; Qiaozhi He; Tong Xiao; Chunliang Zhang; Tongran Liu; Quan Du; Di Yang; Jingbo Zhu (CoRR, 2024)

NDP: Next Distribution Prediction as a More Broad Target. - Junhao Ruan; Abudukeyumu Abudula; Xinyu Liu; Bei Li; Yinqiao Li; Chenglong Wang 002; Yuchun Fan; Yuan Ge 001; Tong Xiao; Jingbo Zhu (CoRR, 2024)

LRHP: Learning Representations for Human Preferences via Preference Pairs. - Chenglong Wang 002; 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 002; Yang Gan; Yifu Huo; Yongyu Mu; Murun Yang; Qiaozhi He; Tong Xiao; Chunliang Zhang; Tongran Liu; Jingbo Zhu (AAAI, 2025)

Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models. - Yongyu Mu; Hengyu Li; Junxin Wang; Xiaoxuan Zhou; Chenglong Wang 002; Yingfeng Luo; Qiaozhi He; Tong Xiao; Guocheng Chen; Jingbo Zhu (ICASSP, 2025)

GRAM: A Generative Foundation Reward Model for Reward Generalization. - Chenglong Wang 002; Yang Gan; Yifu Huo; Yongyu Mu; Qiaozhi He; Murun Yang; Bei Li; Tong Xiao; Chunliang Zhang; Tongran Liu; Jingbo Zhu (CoRR, 2025)

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models. - Kaiyan Chang; Yonghao Shi; Chenglong Wang 002; Hang Zhou; Chi Hu; Xiaoqian Liu; Yingfeng Luo; Yuan Ge 001; Tong Xiao; Jingbo Zhu (CoRR, 2025)