Sun, Xingwu

11 publications

ICML 2025 Autonomy-of-Experts Models Ang Lv, Ruobing Xie, Yining Qian, Songhao Wu, Xingwu Sun, Zhanhui Kang, Di Wang, Rui Yan

AAAI 2025 Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant" Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang

ICCV 2025 Hybrid-Tower: Fine-Grained Pseudo-Query Interaction and Generation for Text-to-Video Retrieval Bangxiang Lan, Ruobing Xie, Ruixiang Zhao, Xingwu Sun, Zhanhui Kang, Gang Yang, Xirong Li

CVPR 2025 PhD: A ChatGPT-Prompted Visual Hallucination Evaluation Dataset Jiazhen Liu, Yuhan Fu, Ruobing Xie, Runquan Xie, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Xirong Li

ICML 2025 Scaling Laws for Floating–Point Quantization Training Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Cheng-Zhong Xu, Di Wang, Jie Jiang

NeurIPS 2025 Understanding Data Influence in Reinforcement Finetuning Haoru Tan, Xiuzhe Wu, Sitong Wu, Shaofeng Zhang, Yanfeng Chen, Xingwu Sun, Jeanne Shen, Xiaojuan Qi

AAAI 2024 DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation Zihui Gu, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Chengzhong Xu, Ju Fan

IJCAI 2024 SeeDRec: Sememe-Based Diffusion for Sequential Recommendation Haokai Ma, Ruobing Xie, Lei Meng, Yimeng Yang, Xingwu Sun, Zhanhui Kang

NeurIPS 2024 Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang

AAAI 2024 Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models Through Intervention Without Tuning Zhongzhi Chen, Xingwu Sun, Xianfeng Jiao, Fengzong Lian, Zhanhui Kang, Di Wang, Chengzhong Xu

AAAI 2021 A Bidirectional Multi-Paragraph Reading Model for Zero-Shot Entity Linking Hongyin Tang, Xingwu Sun, Beihong Jin, Fuzheng Zhang