Yoav Artzi (PhD, 2015; Situated Understanding and Learning of Natural Language; Assistant Professor, Cornell)
Terra Blevins (PhD, 2024; Multilingual Language Models: Analysis and Algorithms; Assistant Professor, Northeastern University)
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; Research Scientist, Allen Institute for Artificial Intelligence)
Tim Dettmers (PhD, 2024; Accessible Foundation Models: Systems, Algorithms, and Science; Assistant Professor, Carnegie Mellon University)
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; 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)
Chloé Kiddon (PhD, 2016; Learning to Interpret and Generate Instructional Recipes; Co-advised with Yejin Choi; Google, Seattle)
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, 2024; 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)
cs.washington.edu