Liu, Tongran

9 publications

ICML 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

NeurIPS 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

AAAI 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

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

AAAI 2020 Neural Machine Translation with Joint Representation Yanyang Li, Qiang Wang, Tong Xiao, Tongran Liu, Jingbo Zhu

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

IJCAI 2019 Sharing Attention Weights for Fast Transformer Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, Tongran Liu

IJCAI 2017 Fast Parallel Training of Neural Language Models Tong Xiao, Jingbo Zhu, Tongran Liu, Chunliang Zhang

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