Linyang Li's Homepage

He is working on LLM reasoning via synthetic data generation for the InternLM series in Shanghai AI Lab.
He obtained his PhD in computer science at Fudan University, advised by Prof. Xipeng Qiu, focusing on AI safety and reliability.
I'm looking for self-motivated interns that can join us to explore the limit of synthetic data for LLM reasoning!
Feel free to contact me.
2019 - 2024, School of Computer Science, Fudan University
2021.5 - 2021.9 Tencent AI Lab, Tencent
2015 - 2019, School of Information Science and Technology, Fudan University
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. Case2Code: Learning Inductive Reasoning with Synthetic Data. Withdraw from EMNLP 2024 Findings and accepted by COLING 2024. [paper]
InternLM Team L. Li, (2024). InternLM2 Technical Report. [paper]; [Code]
Y Shao, L. Li* Z Fei, H Yan, X Qiu, (2024). Balanced Data Sampling for Language Model Training with Clustering. To appear in Findings of ACL 2024. [paper];
He has a full paper list at LinyangLi Google Scholar.
Area Chair @ACL 2024
Reviewer @ACL, EMNLP, NAACL, NIPS, AAAI