I am a first-year PhD student at the Department of Computer Science, Rutgers University-New Brunswick. My research interests lie in Explainable AI(XAI), emphasizing large language models(LLMs). Before that, I obtained my bachelor’s degree from the University of Liverpool.
Explainable AI, Natural Language Processing, Interpretability, Data Mining
Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding (ICML 2025)
Mingyu Jin, Kai Mei, Wujiang Xu, Mingjie Sun, Ruixiang Tang, Mengnan Du, Zirui liu, Yongfeng Zhang
Disentangling Memory and Reasoning Ability in Large Language Models (ACL 2025)
Mingyu Jin, Weidi Luo, Sitao Cheng, Xinyi Wang, Wenyue Hua, Ruixiang Tang, William Yang Wang, Yongfeng Zhang
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities (ACL Findings 2025)
Wenyue Hua, Kaijie Zhu, Lingyao Li, Lizhou Fan, Shuhang Lin, Mingyu Jin, Haochen Xue, Zelong Li, JinDong Wang, Yongfeng Zhang
Visual agents as fast and slow thinkers (ICLR 2025)
Guangyan Sun🌟, Mingyu Jin🌟, Zhenting Wang, Chenglong Wang, Siqi Ma, Qifan Wang, YingNian Wu, Yongfeng Zhang, Dongfang Liu
From Commands to Prompts: LLM-based Semantic File System for AIOS (ICLR 2025)
Zeru Shi, Kai Mei, Mingyu Jin, Yongye Su, Chaoji Zuo, Wenyue Hua, Wujiang Xu, Yujie Ren, Zirui Liu, Mengnan Du, Dong Deng, Yongfeng Zhang
Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers? (COLING 2025)
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
EmojiCrypt: Prompt Encryption for Secure Communication with Large Language Models (NAACL 2025)
Guo Lin, Wenyue Hua, Zhenting Wang, Mingyu Jin, Yongfeng Zhang
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
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
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities (ACM SIGKDD Explorations)
Hua Tang, Chong Zhang, Mingyu Jin, Qinkai Yu, Zhenting Wang, Yongfeng Zhang, Mengnan Du
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
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