I am a first-year PhD student at the Department of Computer Science, Rutgers University-New Brunswick. Currently, I am working closely with Prof. Yongfeng Zhang on XAI, LLM-based Agents, Data Mining. My research interests lie in Explainable AI(XAI), Trustworthy Agents, and AI4Science, emphasizing large language models(LLMs). Before that, I obtained my bachelor’s degree from the University of Liverpool. I was an intern student guided by Prof. Mengnan Du worked in XAI before I received my PhD offer.
XAI, LLM Agent, AI4SCIENCE, Data Mining
Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis (EMNLP 2024)
Qingcheng Zeng, Mingyu Jin, Rob Voigt
TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution (EMNLP Findings 2024)
Wenyue Hua, Xianjun Yang, Mingyu Jin, Wei Cheng, Ruixiang Tang, Yongfeng Zhang
ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction (COLM 2024)
Mingyu Jin, Haochen Xue, Zhenting Wang, Boming Kang, Ruosong Ye, Kaixiong Zhou, Mengnan Du, Yongfeng Zhang
Target-driven Attack for Large Language Models (ECAI 2024)
Chong Zhang, Mingyu Jin, Dong Shu, Taowen Wang, Dongfang Liu, Jinbo Jin
The Impact of Reasoning Step Length on Large Language Models (ACL Findings 2024)
Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du
MathAttack: Attacking Large Language Models towards Math Solving Ability (AAAI 2024)
Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction (ACML 2024)
Dong Shu, Tianle Chen, Mingyu Jin, Chong Zhang, Mengnan Du, Yongfeng Zhang
🌟 means equal contributor
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
Wenyue Hua, Kaijie Zhu, Lingyao Li, Lizhou Fan, Shuhang Lin, Mingyu Jin, Haochen Xue, Zelong Li, JinDong Wang, Yongfeng Zhang
The impact of reasoning step length on large language models
Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du
Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?
Mingyu Jin🌟, Qinkai Yu🌟, Jingyuan Huang🌟, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang
MathAttack: Attacking Large Language Models Towards Math Solving Ability
Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang
Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Zihao Zhou, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Kaize Ding, Fan Yang, Ruixiang Tang, Yongfeng Zhang
Towards Imperceptible Backdoor Attack in Self-supervised Learning
Hanrong Zhang, Zhenting Wang, Tingxu Han, Mingyu Jin, Chenlu Zhan, Mengnan Du, Hongwei Wang, Shiqing Ma
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