Luke Zettlemoyer
Luke Zettlemoyer studies empirical methods for natural language semantics and the design and evaluation of learning algorithms. Zettlemoyer develops machine learning algorithms, tasks, and datasets for natural language semantics. His research also analyses model performance and studies self-supervision signals for pretraining. Zettlemoyer received a Presidential Early Career Award for Scientists and Engineers in 2016.
- Now at
- University of Washington and Meta
- Works
- 416
- Citations
- 78,668
- h-index
- 91
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2016
PECASE recognition
Zettlemoyer received a Presidential Early Career Award for Scientists and Engineers in 2016.
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2021
Research recognition
ACL elected Luke Zettlemoyer as a Fellow in 2021.
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2024
Shared language model research
The OLMo and Dolma teams received paper awards in August 2024.
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2024
Election to future ACL leadership
In December 2024, Zettlemoyer reported election to an ACL leadership sequence: vice-president elect in 2025, vice-president in 2026, and president in 2027. The election date does not mean he was president in 2024.
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As of October 2026
Language semantics and learning
Zettlemoyer develops machine learning algorithms, tasks, and datasets for natural language semantics. His research also analyses model performance and studies self-supervision signals for pretraining.
Sources and credits
Photo: Artist: dennis wise; Copyright: University of Washington; supplied by homes.cs.washington.edu. License: Not stated by source. Source: homes.cs.washington.edu. Cropped to a square and resized. Ask us to remove or replace this photo.