Danqi Chen
Papers
Lab
Teaching & Service
Awards
Etc
Teaching & Service
Teaching
Princeton
Spring 2025
COS484: Natural Language 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
Before Princeton
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