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)

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)