Li, Xiaopeng

14 publications

TMLR 2025 AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving Shuo Xing, Hongyuan Hua, Xiangbo Gao, Shenzhe Zhu, Renjie Li, Kexin Tian, Xiaopeng Li, Heng Huang, Tianbao Yang, Zhangyang Wang, Yang Zhou, Huaxiu Yao, Zhengzhong Tu

ICLRW 2025 Do LLMs Understand Code Preference? Training Code Preference Models via Synthetic Code Evolution Jiawei Liu, Thanh V Nguyen, Mingyue Shang, Hantian Ding, Xiaopeng Li, Yu Yu, Varun Kumar, Zijian Wang

NeurIPS 2025 Process vs. Outcome Reward: Which Is Better for Agentic RAG Reinforcement Learning Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao

NeurIPS 2025 Rethinking Residual Distribution in Locate-Then-Edit Model Editing Xiaopeng Li, Shangwen Wang, Shasha Li, Shezheng Song, Bin Ji, Ma Jun, Jie Yu

AAAI 2025 SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering Xiaopeng Li, Shasha Li, Shezheng Song, Huijun Liu, Bin Ji, Xi Wang, Jun Ma, Jie Yu, Xiaodong Liu, Jing Wang, Weimin Zhang

AAAI 2024 D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

CVPRW 2024 Deep RAW Image Super-Resolution. a NTIRE 2024 Challenge Survey Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte, Jianxing Zhang, Jia Li, Fan Wang, Xiaopeng Li, Zikun Liu, Hyunhee Park, Sejun Song, Changho Kim, Zhijuan Huang, Hongyuan Yu, Cheng Wan, Wending Xiang, Jiamin Lin, Hang Zhong, Qiaosong Zhang, Yue Sun, Xuanwu Yin, Kunlong Zuo, Senyan Xu, Siyuan Jiang, Zhijing Sun, Jiaying Zhu, Liangyan Li, Ke Chen, Yunzhe Li, Yimo Ning, Guanhua Zhao, Jun Chen, Jinyang Yu, Kele Xu, Qisheng Xu, Yong Dou

NeurIPS 2024 G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models Pengyue Jia, Yiding Liu, Xiaopeng Li, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao

NeurIPS 2024 LeDex: Training LLMs to Better Self-Debug and Explain Code Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras

AAAI 2024 PMET: Precise Model Editing in a Transformer Xiaopeng Li, Shasha Li, Shezheng Song, Jing Yang, Jun Ma, Jie Yu

ICLR 2023 Multi-Lingual Evaluation of Code Generation Models Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang

AAAI 2020 Not All Attention Is Needed: Gated Attention Network for Sequence Data Lanqing Xue, Xiaopeng Li, Nevin L. Zhang

ICLR 2019 Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering Xiaopeng Li, Zhourong Chen, Leonard K. M. Poon, Nevin L. Zhang

IJCAI 2018 Building Sparse Deep Feedforward Networks Using Tree Receptive Fields Xiaopeng Li, Zhourong Chen, Nevin L. Zhang