I am a Ph.D. Student in Computer Science at Virginia Tech (VT) starting in Fall 2023, advised by Prof. Chang-Tien Lu. Prior to VT, I obtained my bachelor's degree from Beijing Jiaotong University (BJTU) and master's degree from University of Chinese Academy of Sciences(UCAS). I spent one year working at Tencent as a machine learning engineer.

My research interests are NLP, LLMs, especially focusing on uncertainty estimation and complex reasoning. I am open to all kinds of collaboration, please drop me an email if you are interested in my research.

🔥 News

• May 2024: One paper about LLM’s fairness and uncertainty is accepted to ACL 2024 main conference (first author).
• Apr 2024: One paper about fair financial analysis is accepted to NAACL 2024 industry track.
• Jan 2024: One paper about LLM cascades for cost-efficient reasoning is accepted to ICLR 2024.
• Dec 2023: One paper about compositional generalization in LLMs is accepted to ICASSP 2024 (first author).

📝 Selected Publications

• Min Zhang, Jianfeng He, Taoran Ji, Chang-Tien Lu, [Don’t Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection], ACL 2024 main
• Murong Yue, Jie Zhao, Min Zhang, Liang Du, Ziyu Yao, [Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning], ICLR 2024
• Min Zhang, Jianfeng He, Shuo Lei, Murong Yue, Linhan Wang, Chang-Tien Lu, [Can LLM find the green circle? Investigation and Human-guided tool manipulation for compositional generalization], ICASSP 2024

🎖 Honors and Awards

• 2017 China National Scholarship (Undergraduate) (Top 1%)

💻 Work Experience

• 2021.07 - 2022.07, Tencent, China. -Full Time
• 2020.07 - 2020.09, Alibaba Group, China. -Internship