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