About
Sewon Min is an Assistant Professor at UC Berkeley EECS and a research scientist at the Allen Institute for AI. Her work lies at the intersection of Natural Language Processing and Machine Learning, with a particular focus on Large Language Models (LLMs). Her research focuses on understanding and advancing LLMs centered around how they use the very large text corpora. Before joining UC Berkeley and Ai2, Sewon earned her Ph.D. in Computer Science & Engineering from the University of Washington, supported by a J.P. Morgan Ph.D. Fellowship. During her Ph.D., she was a part-time visiting researcher at Meta AI (formerly Facebook AI Research), and she also interned at Google Research and Salesforce Research. She received her B.S. in Computer Science and Engineering from Seoul National University.
Research Performance Summary
First Recorded Paper
Question Answering through Transfer Learning from Large Fine-grained Supervision Data
Year: 2017
Citations: 144
Venue: Annual Meeting of the Association for Computational Linguistics (ACL)
Latest Recorded Paper
DS SERVE: A Framework for Efficient and Scalable Neural Retrieval
Year: 2026
Citations: 0
Venue: N/A
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.