I am a fourth-year B.Sc. student in the Research Center for Social Computing and Interactive Robotics (SCIR) at Harbin Institute of Technology (HIT, China), currently interning at Shanghai Innovation Institute.

I am broadly interested in Natural Language Processing and Machine Learning. My current research focuses on Reinforcement Learning, Self-Evolving Agent and Synthetic Data Generation. I am particularly interested in leveraging reinforcement learning and its derivative techniques to stimulate the self-evolving capabilities of LLM-based agents in real-world environments.

If you are interested in any form of academic collaboration, please feel free to email me at mzli@ir.hit.edu.cn.

🔥 News

2025.08: 🔥 Started my internship at Shanghai Innovation Institute
2025.03: 🎉 One paper “Self-Foveate: Enhancing Diversity and Difficulty of Synthesized Instructions from Unsupervised Text via Multi-Level Foveation” is accepted by Findings of ACL 2025

📝 Publications

🎙 Data Synthesis

Self-Foveate

Findings of ACL 2025 Self-Foveate: Enhancing Diversity and Difficulty of Synthesized Instructions from Unsupervised Text via Multi-Level Foveation, Mingzhe Li, Xin Lu, Yanyan Zhao.

This work introduces an innovative LLM-driven method for instruction synthesis.
Proposes a “Micro-Scatter-Macro” multi-level foveation methodology.
Demonstrates superior performance across multiple unsupervised corpora and model architectures.

🎖 Honors & Awards

2025.01: Top Ten Outstanding Learning Stars of Harbin Institute of Technology (nominee)
2023.12: Outstanding Student of General Higher Education Institutions in Heilongjiang Province

💻 Internships

2025.08 - Present, Shanghai Innovation Institute, Shanghai.

⭐ Academic Services