Bagging and Boosting statistical machine translation systems. - Tong Xiao; Jingbo Zhu; Tongran Liu (Artif. Intell., 2013)

Syntactic Skeleton-Based Translation. - Tong Xiao; Jingbo Zhu; Chunliang Zhang; Tongran Liu (AAAI, 2016)

Fast Parallel Training of Neural Language Models. - Tong Xiao; Jingbo Zhu; Tongran Liu; Chunliang Zhang (IJCAI, 2017)

Sharing Attention Weights for Fast Transformer. - Tong Xiao; Yinqiao Li; Jingbo Zhu; Zhengtao Yu 001; Tongran Liu (IJCAI, 2019)

Neural Machine Translation with Joint Representation. - Yanyang Li; Qiang Wang 050; Tong Xiao; Tongran Liu; Jingbo Zhu (AAAI, 2020)

Learning Architectures from an Extended Search Space for Language Modeling. - Yinqiao Li; Chi Hu; Yuhao Zhang; Nuo Xu; Yufan Jiang; Tong Xiao; Jingbo Zhu; Tongran Liu; Changliang Li (ACL, 2020)

Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation. - Bei Li; Hui Liu; Ziyang Wang; Yufan Jiang; Tong Xiao; Jingbo Zhu; Tongran Liu; Changliang Li (ACL, 2020)

Towards Fully 8-bit Integer Inference for the Transformer Model. - Ye Lin; Yanyang Li; Tengbo Liu; Tong Xiao; Tongran Liu; Jingbo Zhu (IJCAI, 2020)

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)

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)

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)

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)

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)