Michael Chen
Michael Chen has 2 papers in our library, in 2019–2024, most of them on Question answering, Reasoning; often with Alisa Liu, Doug Downey, Jared Fernandez.
OpenAlex · ORCID · Wikidata · h-index 37 · 235 works · 5,884 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 92 times in our library · ⭐ Paper Stars ranking: #7693
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workSafety Research · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work
🧭 Topics 2Research subjects and languages the work is about.Question answering · 1 workReasoning · 1 work
Works by year
2020s
2010s
Papers
- CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense (2019 · 90 citations)
Pre-trained transformer models such as BERT reached or exceeded human scores on SWAG, a sentence-completion benchmark for commonsense inference. - RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts (2024 · 46 citations)
AI developers and governments want early-warning tests that show whether AI agents could take over frontier AI research and development, but few realistic evaluations exist, and almost none compare agents directly with people.
Co-authors here
- Alisa Liu
- Doug Downey
- Jared Fernandez
- Joel Becker
- Katharyn Garcia
- Lawrence Chan
- Mike D'Arcy
- Sami Jawhar
- Thomas Broadley
Venues
- Workshop on Evaluating Vector Space Representations for NLP: Workshop on Evaluating Vector Space Representations for NLP 2019
Cited by
Updated
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