Teaching

• COS 484: Natural Language Processing (Spring 2022). Teaching assistant. Instructor: Prof. Karthik Narasimhan. Princeton University
• COS 324: Introduction to Machine Learning (Fall 2021). Teaching assistant. Instructors: Prof. Sanjeev Arora and Prof. Danqi Chen. Princeton University
• Natural Language Processing (Spring 2020). Teaching assistant. Instructor: Prof. Zhiyuan Liu. Tsinghua University

Mentoring

• Anirudh Ajith (2024), MSE student at Princeton University. Now at AI2.
• Zhiyuan Zeng (2023), undergraduate student at Tsinghua University. Now a PhD student at UW.
• Jiatong Yu (2022-2023), undergraduate student at Princeton University.
• Howard Yen (2022-2024), undergraduate student at Princeton University. Now a PhD student at Princeton.
• Jane Pan (2021-2023), MSE student at Princeton University. Now a PhD student at NYU.
• Huihan Li (2020-2021), MSE student at Princeton University. Now a PhD student at USC.
• Xingcheng Yao (2021), undergraduate student at Tsinghua University. Now a PhD student at UCLA.
• Zichun Yu (2020), undergraduate student at Tsinghua University. Now a PhD student at CMU.
• Hao Peng (2019-2020), undergraduate student at Tsinghua University. Now a PhD student at Tsinghua.

Services

Workshop Co-organizer

• The First Workshop on Long Context Foundation Models (LCFM). ICML 2024.

Area Chair

• Association for Computational Linguistics (ACL) Rolling Review.

Reviewer / Program Committee

• Association for Computational Linguistics (ACL) Rolling Review.
• Conference on Language Modeling (COLM).
• International Conference on Learning Representations (ICLR).
• Annual Meeting of the Association for Computational Linguistics (ACL).
• Conference on Empirical Methods in Natural Language Processing (EMNLP).
• Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
• International Conference on Computational Linguistics (COLING).
• Conference on Automated Knowledge Base Construction (AKBC).
• ICLR 2024 Workshop on Reliable and Responsible Foundation Models (R2-FM).
• ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation Models (ME-FoMo).