Email:
I am embarassed to admit that I get way too many emails to respond to them all. Appologies in advance if I do not respond.
Recruiting: I admit students every year, please apply here. We carefully consider every application; emailing will not increase your chances of being accepted. I do not host interns or other temporary visitors.
I am a Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, and a Senior Research Director at Meta. My research focuses on empirical methods for natural language semantics, and involves designing machine learning algorithms, introducing new tasks and datasets, analyzing model performance, and, most recently, studying how to best develop self-supervision signals for pre-training. My honors include being elected as ACL President (2024), named an ACL Fellow (2021), as well as winning a PECASE award (2016), an Allen Distinguished Investigator award (2014), and many best paper awards. I was an undergraduate at NC State, recieved my PhD from MIT, and was a postdocal researcher at the University of Edinburgh.
Recent Updates:
Feb 11, 2025: Congratulations to Chunting and Lili and the Tranfusion team for getting an oral at ICLR 2025!
Dec 3, 2024: Elected ACL President (2025 VP Elect; 2026 VP; 2027 Pres; 2028 Past Pres)
Name (Role, Year; Thesis; co-Advisor; First Emplyment)
Yoav Artzi (PhD, 2015; Situated Understanding and Learning of Natural Language; Assistant Professor, Cornell)
Terra Blevins (PhD, 2024; Multilingual Language Models: Analysis and Algorithms; Assistent Professor, Northeastern)
Danqi Chen (Postdoc, 2019; Assistant Professor, Princeton University)
Eunsol Choi (PhD, 2019; Learning to Understand Entities in Text; Co-advised with Yejin Choi; Assistant Professor, University of Texas at Austin)
Chris Clark (PhD, 2020; Training Models to Ignore Dataset Bias; Young Investigator, Allen Institute for Artificial Intelligence)
Tim Dettmers (PhD, 2024; Accessible Foundation Models: Systems, Algorithms, and Science; Assistant Professor, CMU)
Nicholas FitzGerald (PhD, 2018; Neural Models for Large-Scale Semantic Role Labelling; Google Research, NYC)
Dan Garrette (Postdoc, 2016; Google Research, NYC)
Suchin Gururangan (PhD, 2024; Data-Centric Methods for Decentralizing Large Language Models; Co-advised with Noah Smith; Research Scietnist, Meta)
Luheng He (PhD, 2018; Annotating and Modeling Shallow Semantics Directly from Text; Google Research, Mountain View)
Raphael Hoffmann (PhD, 2012; Interactive Learning of Relation Extractors with Weak Supervision; Co-advised with Dan Weld; Stealth startup)
Ari Holtzman (PhD 2023; Interpretation Errors: Extracting Functionality form Generative Model of Language by Understanding them Better; Assistant Professor, University of Chicago)
Srinivasan Iyer (PhD 2019; Learning to Map Natural Language to General Purpose Source Code; Co-advised with Alvin Cheung; Research Scientist, Facebook)
Mohit Iyyer (AI2 Postdoc, 2018; Assistant Professor, U. Mass Amherst)
Mandar Joshi (PhD, 2021; How to train your self-supervised NLP model: Investigating pre-training objectives, data, and scale; Co-advised with Dan Weld)
Victoria Lin (PhD, 2024; Towards Large Language Models for Everyone: Instruction Following, Knowledge Retrieval and Multilingualism; Research Scientist, Meta)
Cynthia Matuszek (PhD, 2014; Talking to Robots: Learning to Ground Human Language in Perception and Execution; Co-advised with Dieter Fox; Assistant Professor, UMBC)
Julian Michael (PhD, 2022; Building Blocks for Data-Driven Theories of Language Understanding; Postdoc, NYU)
Sewon Min (PhD, 2024; Rethinking Data Use in Large Language Models; Co-advised with Hannaneh Hajishirzi; Assistant Professor, UC Berkeley)
Gabriel Schubiner (MS, 2016; Distance Metrics for Learning Dialogue Systems; Google, Seattle)
Bhargavi Paranjape (PhD, 2022; Towards Reliability and Interactive Debugging for Large Language Models; Co-advised with Hannaneh Hajishirzi; Research Scientist, Meta)
Sameer Singh (Postdoc, 2016; Assistant Professor, UC Irvine)
Jesse Thomason (Postdoc, 2020; Assistant Professor, University of Southern California)
Adrienne Wang (PhD, 2015; CCG Grammar Induction for Accurate and Efficient Parsing)
Mark Yatskar (PhD 2017; Natural Language as a Scaffold for Visual Recognition; Co-advised with Ali Farhadi; Assistant Professor, University of Pennsylvania)
Victor Zhong (PhD 2023; Reading to Learn; Assistant Professor, University of Waterloo)
Teaching
CSE(P) 473/573: Introduction to Artificial Intelligence [Au24][Wi24][Au22] ...