Pei, Hengzhi

6 publications

ICLR 2026 Knowledge Distillation for Large Language Models Through Residual Learning Thinh On, Hengzhi Pei, Leonard Lausen, George Karypis

AAAI 2023 Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis

NeurIPS 2023 DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li

NeurIPS 2022 Improving Certified Robustness via Statistical Learning with Logical Reasoning Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlaš, Ji Liu, Heng Guo, Ce Zhang, Bo Li

AAAI 2020 Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li

CVPR 2020 The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song