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Keith Ross

Keith Ross has 2 papers in our library, in 2025–2026, most of them on Reasoning, Language models & pretraining, Semitic languages.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 63 · 255 works · 15,144 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 5 times in our library · ⭐ Paper Stars ranking: #12535

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓New York University Abu DhabiAbu Dhabi · United Arab Emirates2018–2026 · 11 paperscurrent🎓New York UniversityNew York · United States2004–2021 · 70 papers🎓University of PennsylvaniaPhiladelphia · United States1985–2003 · 63 papers🎓EURECOMValbonne · France1998–2003 · 24 papers🎓New York University ShanghaiShanghai · China2014–2024 · 17 papers🔬Institut Mines-TélécomPalaiseau · France1998–2000 · 4 papers🎓University of MichiganAnn Arbor · United States1985–2005 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputational Theory and Mathematics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 workSemitic languages · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges (2025 · 6 citations)
    Most math benchmarks for LLMs use small numbers and grade only the final answer. As a result, they cannot show whether a model failed because its reasoning was flawed or because it made a calculation slip. The authors address both problems. They release GSM-Ranges, a generator that converts 100 integer-only GSM8K…
  2. Arabic Dialect Translation with Small LLMs: Enhancing through Reasoning-Oriented Reinforcement Learning (2026)
    Most machine translation for Arabic is built on Modern Standard Arabic. Everyday speech and much online text, however, use regional dialects that vary widely, have no fixed spelling, and lack large parallel corpora. The strongest systems are large proprietary models, which communities with limited compute or offline…

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 5 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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