Zhang, Sen

14 publications

TMLR 2025 Are Large Language Models Really Robust to Word-Level Perturbations? Haoyu Wang, Guozheng Ma, Cong Yu, Ning Gui, Linrui Zhang, Zhiqi Huang, Suwei Ma, Yongzhe Chang, Sen Zhang, Li Shen, Xueqian Wang, Peilin Zhao, Dacheng Tao

ICLR 2025 FreDF: Learning to Forecast in the Frequency Domain Hao Wang, Lichen Pan, Yuan Shen, Zhichao Chen, Degui Yang, Yifei Yang, Sen Zhang, Xinggao Liu, Haoxuan Li, Dacheng Tao

ICLR 2025 NoVo: Norm Voting Off Hallucinations with Attention Heads in Large Language Models Zheng Yi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao

ICML 2025 The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking Yuchun Miao, Sen Zhang, Liang Ding, Yuqi Zhang, Lefei Zhang, Dacheng Tao

NeurIPS 2025 Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts Li Bai, Qingqing Ye, Xinwei Zhang, Sen Zhang, Zi Liang, Jianliang Xu, Haibo Hu

ICML 2024 Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao

NeurIPS 2024 InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling Yuchun Miao, Sen Zhang, Liang Ding, Rong Bao, Lefei Zhang, Dacheng Tao

NeurIPS 2024 Offline Behavior Distillation Shiye Lei, Sen Zhang, Dacheng Tao

ICLR 2024 Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao

ICML 2024 Towards Theoretical Understandings of Self-Consuming Generative Models Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao

NeurIPSW 2023 Are Large Language Models Really Robust to Word-Level Perturbations? Haoyu Wang, Guozheng Ma, Cong Yu, Ning Gui, Linrui Zhang, Zhiqi Huang, Suwei Ma, Yongzhe Chang, Sen Zhang, Li Shen, Xueqian Wang, Peilin Zhao, Dacheng Tao

ECCV 2022 JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes Haimei Zhao, Jing Zhang, Sen Zhang, Dacheng Tao

ECML-PKDD 2022 Multi-Task Adversarial Learning for Semi-Supervised Trajectory-User Linking Sen Zhang, Senzhang Wang, Xiang Wang, Shigeng Zhang, Hao Miao, Junxing Zhu

ECCV 2022 Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics Sen Zhang, Jing Zhang, Dacheng Tao