Zhu, Kaijie

10 publications

NeurIPS 2025 Co-PatcheR: Collaborative Software Patching with Component-Specific Small Reasoning Models Yuheng Tang, Hongwei Li, Kaijie Zhu, Michael Yang, Yangruibo Ding, Wenbo Guo

ICML 2025 MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents Kaijie Zhu, Xianjun Yang, Jindong Wang, Wenbo Guo, William Yang Wang

NeurIPS 2025 Personalized Safety in LLMs: A Benchmark and a Planning-Based Agent Approach Yuchen Wu, Edward Sun, Kaijie Zhu, Jianxun Lian, Jose Hernandez-Orallo, Aylin Caliskan, Jindong Wang

ICML 2024 CompeteAI: Understanding the Competition Dynamics of Large Language Model-Based Agents Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie

ICMLW 2024 CompeteAI: Understanding the Competition Dynamics of Large Language Model-Based Agents Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie

ICLR 2024 DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie

ICML 2024 Dynamic Evaluation of Large Language Models by Meta Probing Agents Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie

MLOSS 2024 PromptBench: A Unified Library for Evaluation of Large Language Models Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie

ICML 2024 The Good, the Bad, and Why: Unveiling Emotions in Generative AI Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie

ICCV 2023 Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang