Linyang Li's Homepage

Linyang Li | 李林阳

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.

Call for Interns

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.

Email

lilinyang@pjlab.org.cn

linyangli19@fudan.edu.cn

Education and InternShip

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

 PUBLICATIONS

Recent Publications

  • 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];

Previous Publications

He has a full paper list at LinyangLi Google Scholar.

Experience

  • Area Chair @ACL 2024

  • Reviewer @ACL, EMNLP, NAACL, NIPS, AAAI