Greetings! I’m a first-year Ph.D. student jointly supervised by Fudan University and Shanghai AI Lab, specializing in artificial intelligence. I earned my bachelor’s degree in AI from Shanghai Jiao Tong University. I’m also interning at the InternLM team.

My research interests focus on Large Language Models (LLMs). My work lies in improving LLMs’ reasoning capabilities in specialized domains through synthetic data generation and reinforcement learning.

🔥 News

2025.08: 🎉🎉 Our paper UnitCoder is accepted by EMNLP 2025.
2025.07: We release InternS1, an advanced open-source multimodal reasoning model.
2025.04: We release InternThinker Go, the first general LLM with expert level Go performance.
2025.04: We release InternBootCamp, a library of bootcamp environments for training LRMs.

📝 Publications

First-author Papers

EMNLP, 2025

UnitCoder: Scalable Code Synthesis from Pre-training Corpora

Yichuan Ma, Yunfan Shao, Peiji Li, Demin Song, Qipeng Guo, Linyang Li, Xipeng Qiu, Kai Chen

Co-author Papers

ACL, 2025

FastMCTS: A Simple Sampling Strategy for Data Synthesis

Peiji Li, Kai Lv, Yunfan Shao, Yichuan Ma, Linyang Li, Xiaoqing Zheng, Xipeng Qiu, Qipeng Guo

COLING, 2024

Case2Code: Scalable Synthetic Data for Code Generation

Yunfan Shao, Linyang Li, Yichuan Ma, Peiji Li, Demin Song, Qinyuan Cheng, Shimin Li, Xiaonan Li, Pengyu Wang, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin

arXiv, 2024

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InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning

Huaiyuan Ying, Shuo Zhang, Linyang Li, Zhejian Zhou, Yunfan Shao, Zhaoye Fei, Yichuan Ma, Jiawei Hong, Kuikun Liu, Ziyi Wang, Yudong Wang, Zijian Wu, Shuaibin Li, Fengzhe Zhou, Hongwei Liu, Songyang Zhang, Wenwei Zhang, Hang Yan, Xipeng Qiu, Jiayu Wang, Kai Chen, Dahua Lin