I’m currently pursuing a Ph.D. in Natural Language Processing (NLP) at Westlake University, in collaboration with Zhejiang University, under the supervision of Professor Yue Zhang. Before starting my Ph.D., I worked as a Research Assistant under Professor Zhang’s guidance at Westlake University and the Singapore University of Technology and Design. Prior to my doctoral studies, I completed my Bachelor’s and Master’s degrees at Nanjing University of Aeronautics and Astronautics (NUAA).

My research spans Large Language Models (LLMs) and structured information learning. I am currently focused on leveraging LLMs to tackle information extraction tasks, which are typically task-specific and highly customized, posing significant challenges for current LLMs. The techniques I explore include agent systems and collaboration between large and small language models. In addition, I have conducted research in dialogue systems and text-to-SQL tasks, which involve structured information processing. Beyond this, I am also deeply interested in applying these techniques to vertical domains such as clinical and finance.

🔥 News

• 2025.08:  🎉🎉 Our paper about LLM Multi-Step Reasoning is accepted to EMNLP 2025.
• 2024.05:  🎉🎉 Our paper about Collaborating Large and Small Language Models is accepted to ACL 2024.
• 2024.05:  🎉🎉 Our paper about LLM Data Augmentation is accepted to NAACL 2024.

📝 Selected Publications

Please go to Google Scholar for a complete list of publications.

• EMNLP 2025 Main Multi-Document Event Extraction via Multi-Step Reasoning with Large Language Models, Qingkai Min, Zitian Qu, Qipeng Guo, Xiangkun Hu, Zheng Zhang, Yue Zhang. [code]
• ACL 2024 Main Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models, Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang, Yue Zhang. [code]
• NAACL 2024 Main A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution, Bowen Ding*, Qingkai Min*, Shengkun Ma, Yingjie Li, Linyi Yang, Yue Zhang.
• IJCAI 2020 Dialogue State Induction Using Neural Latent Variable Models , Qingkai Min*, Libo Qin*, Zhiyang Teng*, Xiao Liu, Yue Zhang. [code]
• EMNLP 2019 A pilot study for Chinese SQL semantic parsing, Qingkai Min, Yuefeng Shi, Yue Zhang. [code] [page]

💻 Internships

• 2022.03 - 2024.12, AWS AI Shanghai Lab, China, advised by Dr. Qipeng Guo.

📝 Academic Services

• Program Committee Member:
  • ARR, ACL, EMNLP, AAAI, IJCAI, etc.

🎖 Honors and Awards

• 2017 University Scholarship, Nanjing University of Aeronautics and Astronautics
• 2016 University Scholarship, Nanjing University of Aeronautics and Astronautics
• 2015 University Scholarship, Nanjing University of Aeronautics and Astronautics
• 2012 University Scholarship, Nanjing University of Aeronautics and Astronautics