I am a Ph.D. student in Computer Science and Technology at Southeast University (Fall 2025), supervised by Prof. Lei Feng . Previously, I received my master’s degrees from Southeast University and Monash University (Double degree program), advised by Prof. Guilin Qi . I received my Bachelor’s degree in Computer Science and Technology from Hefei University of Technology in June 2021.

My research interest includes:

• Fine‑tuning and Reinforcement Learning for LLMs
• LLM‑Driven Autonomous Agent Architectures
• Cooperative Multi‑Agent Collaboration
• Security and Robustness in LLMs & Agent Frameworks

🔥 News

• 2025.01:  🎉 Our paper ( MAKGED ) was accepted by DASFAA 2025, Oral Paper!
• 2024.12:  🎉 Our paper was accepted by AAAI 2025!
• 2024.03:  🎉 Our paper ( MATEval ) was accepted by DASFAA 2024, Oral Paper!
• 2024.03:  🎉 Our paper ( DEE ) was accepted by DASFAA 2024, Oral Paper!
• 2024.01:  🎉 Our paper was accepted by NAACL 2024!

📝 Publications

DASFAA 2024

MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation （DASFAA 2024 Oral）

Yu Li^*, Shenyu Zhang^*, Rui Wu, Xiutian Huang, Wenhao Xu, Guilin Qi, Dehai Min

Code

• Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs （DASFAA 2025 Oral）
  Yu Li, Yi Huang, Guilin Qi, Junlan Feng, Nan Hu, Songlin Zhai, Haohan Xue, Yongrui Chen, Ruoyan Shen, Tongtong Wu
  Code

• DEE: Dual-Stage Explainable Evaluation Method for Text Generation （DASFAA 2024 Oral）
  Shenyu Zhang^*, Yu Li^*, Rui Wu, Xiutian Huang, Yongrui Chen, Wenhao Xu, Guilin Qi

• Hegta: Leveraging heterogeneous graph-enhanced large language models for few-shot complex table understanding （AAAI 2025）
  Rihui Jin, Yu Li, Guilin Qi, Nan Hu, Yuan-Fang Li, Jiaoyan Chen, Jianan Wang, Yongrui Chen, Dehai Min, Sheng Bi

• Can ChatGPT replace traditional KBQA models? An in-depth analysis of the question answering performance of the GPT LLM family （ISWC 2023, Oral）
  Yiming Tan, Dehai Min, Yu Li, Wenbo Li, Nan Hu, Yongrui Chen, Guilin Qi
  Code

• Exploring the impact of table-to-text methods on augmenting llm-based question answering with domain hybrid data （NAACL 2024, Oral）
  Dehai Min, Nan Hu, Rihui Jin, Nuo Lin, Jiaoyan Chen, Yongrui Chen, Yu Li, Guilin Qi, Yun Li, Nijun Li, Qianren Wang

🎖 Honors and Awards

• 2025.06: Outstanding Graduate, Southeast University
• 2024.10: First‑Class Scholarship, Southeast University

📖 Educations

• 2025.09 – Present: Ph.D. in Computer Science and Engineering, Southeast University.
• 2022.09 - 2025.06: M.S. in Computer Science and Engineering (Double Degree), Southeast University & Monash University.
• 2017.09 - 2021.06: B.S. in Computer Science and Technology, Hefei University of Technology .

💻 Internships

• 2023.09 - 2024.03: Ant Group, Hangzhou, China.