Teaching

Princeton

Spring 2025. COS484: Natural Langauge Processing, co-taught with Vikram Ramaswamy and Tri Dao (undergraduate)
Fall 2024. COS597R: Deep Dive into Large Language Models, co-taught with Sanjeev Arora (graduate)
Spring 2023. COS484: Natural Language Processing (undergraduate)
Fall 2022. COS 597G: Understanding Large Language Models (graduate)
Spring 2022. COS IW04: Hands-on Deep Learning for Language Understanding (undergraduate)
Fall 2021. COS324: Introduction to Machine Learning, co-taught with Sanjeev Arora (undergraduate)
Fall 2021. Junior Research Workshop, co-taught with Sanjeev Arora (undergraduate)
Spring 2021. COS484: Natural Language Processing, co-taught with Karthik Narasimhan (undergraduate)
Spring 2021. COS584: Advanced Natural Language Processing, co-taught with Karthik Narasimhan (graduate)
Spring 2020. COS598C: Deep Learning for Natural Language Processing (graduate)
Fall 2019. COS484: Natural Language Processing, co-taught with Karthik Narasimhan (undergraduate/graduate)

Tutorial

ACL 2023. Retrieval-based Language Models and Applications, co-taught with Akari Asai, Sewon Min, and Zexuan Zhong
ACL 2020. Open-Domain Question Answering, co-taught with Scott Wen-tau Yih

Past experiences

Winter 2017. Head TA for CS224N: Natural Language Processing with Deep Learning, Stanford University, outstanding TA in Stanford CS.
Fall 2015. Head TA for CS224N: Natural Language Processing, Stanford University
Summer 2011. Teaching assistant for Java Program Design and Training, Tsinghua University
2008-2010. Lecturer at National Winter Camp in Informatics in China
2008. Tutor for Fundamentals of Programming, Tsinghua University

Service

Program chair for the 1st Conference on Language Modeling (COLM), 2024
Secretary, COLM Board, 2024–2027
Program chair for AKBC 2021
Faculty advisor, NAACL 2022 Student Research Workshop
Panelist for the National Science Foundation, 2023–2024
Best paper committee for COLM 2026, NAACL 2025 and ACL 2023
Outstanding paper committee for ICML 2023

Senior area chair/Area chair

2027: ICLR (SAC)
2026: ICML (SAC)
2025: ACL (SAC), ICML (SAC), COLM (AC)
2024: ICML (SAC)
2023: ICLR (AC), NeurIPS (SAC)
2022: EMNLP (SAC)
2021: NAACL (SAC), ACL (AC), EMNLP (AC)
2020: EMNLP (AC), ACL (AC), AKBC (AC), AACL (AC)
2019: EMNLP (AC, outstanding area chair)

Organizing committee

Workshop on Long-Context Foundation Models (LCFMs) at ICML 2024, ICML 2025 and NeurIPS 2026
Workshop on Retrieval Enhanced Machine Learning (REML) at SIGIR 2023
3rd Machine Reading for Question Answering (MRQA) workshop at EMNLP 2021.
Competition on Efficient Open-Domain Question Answering at NeurIPS 2020.
Workshop on Structured and Unstructured Knowledge Bases at AKBC 2020.
2nd Machine Reading for Question Answering (MRQA) workshop at EMNLP 2019.
1st Machine Reading for Question Answering (MRQA) workshop at ACL 2018.
6th Workshop on Automated Knowledge Base Construction (AKBC) at NIPS 2017.
5th Workshop on Automated Knowledge Base Construction (AKBC) at NAACL 2016.

Editorial and reviewing

ARR (senior action editor), TACL (standing reviewer), Computational Linguistics (standing reviewer)
Program committee for ACL, EMNLP, NAACL, NeurIPS (top reviewer in 2018), ICML (top reviewer in 2020), ICLR, AAAI, EACL, CoNLL, COLING, IJCNLP, *SEM and many other workshops