Jeffrey Hui
Jeffrey Hui has 2 papers in our library, in 2023–2024, most of them on Code & programming languages; often with Joshua Howland, Christopher A. Choquette-Choo, Jacob Austin.
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📄 2 works in our library · 🔗 Cited 83 times in our library · ⭐ Paper Stars ranking: #8301
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 worksComputer Science Applications · 1 work
🧭 Topics 1Research subjects and languages the work is about.Code & programming languages · 2 works
Works by year
2020s
Papers
- CodeGemma: Open Code Models Based on Gemma (2024 · 82 citations)
CodeGemma is a family of open code models from Google. They are built by continuing the training of Gemma checkpoints on large amounts of mostly code data, with the aim of strong coding skills without losing general language and reasoning ability. - Measuring The Impact Of Programming Language Distribution (2023 · 22 citations)
Code LLMs are usually trained on GitHub data, where each language's share reflects how much code exists rather than how many developers use it.
Co-authors here
- Joshua Howland ×2
- Christopher A. Choquette-Choo
- Jacob Austin
- Jonathan Malmaud
- Kefan Xiao
- Kshitij Bansal
- Luke Vilnis
- Michele Catasta
- Rishabh Singh
- Xavier Garcia
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/jeffrey-hui/