
Danqi Chen's Homepage - Princeton University
Homepage of Danqi Chen. Papers / Lab / Teaching & Service / Awards / Etc. I am an assistant professor of Computer Science at Princeton University and I co-lead the Princeton NLP …
Danqi Chen - Princeton University
Danqi Chen is an Assistant Professor of Computer Science at Princeton University and co-leads the Princeton NLP Group. She is an also associate director of Princeton Language and …
Danqi's Lab - Princeton University
Homepage of Danqi Chen. Alumni PhD students and postdoctoral researchers. Alexis Chevalier, visiting from IAS/PLI postdoc, 2022-2024 -> BCG AI Institute; Tanya Goyal, PLI postdoc, 2023 …
Papers - Princeton University
Mandar Joshi*, Danqi Chen*, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy. In TACL 2020 (presented at ACL 2020).
Danqi Chen, Christopher Manning. A Fast and Accurate Dependency Parser using Neural Networks. In the 19th Conference on Empirical Methods in Natural Language Processing …
Teaching & Service - Princeton University
Homepage of Danqi Chen. Teaching Princeton. Spring 2025. COS484: Natural Langauge Processing, co-taught with Vikram Ramaswamy and Tri Dao (undergraduate) Fall 2024. …
COS 597G: Understanding Large Language Models - Princeton …
Danqi Chen -What are LLMs? Sep 12 (Mon) BERT (encoder-only models) 1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding: 1. Deep contextualized word …
Danqi Chen named 2022 Sloan Research Fellow | CS
Feb 16, 2022 · Danqi Chen has been awarded the 2022 Sloan Fellowship by the Alfred P. Sloan Foundation. She is among 118 early-career scholars who represent the most promising …
Danqi Chen and Karthik Narasimhan, experts in natural language ...
Danqi Chen and Karthik Narasimhan, both assistant professors in computer science, have won National Science Foundation CAREER Awards to further their work in natural language …
Danqi Chen Danqi Chen is an Assistant Profes-sor of Computer Science at Princeton University and co-directs the Princeton NLP Group. Danqi’s research interests lie within deep learning for …