Joshua Howland
Joshua Howland has 2 papers in our library, in 2023–2024, most of them on Code & programming languages; often with Abhishek Rao, Charles Sutton, Christopher A. Choquette-Choo.
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📄 2 works in our library · 🔗 Cited 103 times in our library · ⭐ Paper Stars ranking: #7181
Fields, topics and concepts
📚 Shelves 5The 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 works
🧭 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. - Natural Language to Code Generation in Interactive Data Science Notebooks (2023 · 63 citations)
Data scientists often work in Jupyter-style notebooks, where each new request to an AI coding assistant depends on earlier cells, their execution state, and previous requests.
Co-authors here
- Abhishek Rao
- Charles Sutton
- Christopher A. Choquette-Choo
- Henryk Michalewski
- Kefan Xiao
- Kensen Shi
- Kshitij Bansal
- Luke Vilnis
- Oleksandr Polozov
- Paige Bailey
- Pengcheng Yin
- Wen-Ding Li
Venues
Cited by
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