Charles Staats
Charles Staats has 2 papers in our library, in 2022–2024, most of them on Language models & pretraining, Reasoning; often with Christian Szegedy, Wenda Li, Yuhuai Wu.
OpenAlex · h-index 3 · 7 works · 85 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 204 times in our library · ⭐ Paper Stars ranking: #6199
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputational Theory and Mathematics · 2 worksMathematics · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work
Works by year
2020s
Papers
- Autoformalization with Large Language Models (2022 · 204 citations)
Turning informal mathematics into machine-checkable form normally requires expert effort, and very little aligned data exists that pairs natural-language math with formal code. - Don't Trust: Verify — Grounding LLM Quantitative Reasoning with Autoformalization (2024 · 45 citations)
LLMs such as Minerva and GPT-3.5 can produce step-by-step solutions to math word problems, but these often contain arithmetic slips or unjustified logical jumps.
Co-authors here
- Christian Szegedy ×2
- Wenda Li ×2
- Yuhuai Wu ×2
- Albert Q. Jiang
- Jin Peng Zhou
- Kilian Q. Weinberger
- Markus N. Rabe
- Mateja Jamnik
Cited by
Updated
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