Danqi Chen
About
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 Intelligence, an initiative that seeks to develop fundamental research of large AI models. Her research focuses on deep learning for natural language processing, especially in the intersection of text understanding and knowledge representation & reasoning and applications in question answering, information extraction, and conversational systems. Before joining Princeton, Danqi worked as a visiting scientist at Facebook AI Research in Seattle. She received her Ph.D. from Stanford University (2018) and B.E. from Tsinghua University (2012), both in Computer Science. In the past, she was a recipient of the 2019 Arthur Samuel Best Doctoral Thesis Award at Stanford University, a Facebook Fellowship, a Microsoft Research Women’s Fellowship, and paper awards at ACL'16 and EMNLP'17.
Research Performance Summary
First Recorded Paper
Characterizing Inverse Time Dependency in Multi-class Learning
Year: 2011
Citations: 2
Venue: Data Mining (ICDM), 2011 IEEE 11th International Conference on
Latest Recorded Paper
DySCO: Dynamic Attention-Scaling Decoding for Long-Context LMs
Year: 2026
Citations: 0
Venue: arXiv preprint arXiv:2602.22175
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.