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Luna Phipps-Costin — most-cited papers & profile · AI for Code
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Luna Phipps-Costin
1
papers ·
13
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation
2022 · 13 citations
Top co-authors
Abhinav Jangda
· 1
Arjun Guha
· 1
Carolyn Jane Anderson
· 1
Daniel Nguyen
· 1
Donald Pinckney
· 1
Federico Cassano
· 1
John Gouwar
· 1
Michael Greenberg
· 1
Ming-Ho Yee
· 1
Molly Q Feldman
· 1
Sydney Nguyen
· 1
Yangtian Zi
· 1
Topics
Code Generation
Code Models
Code Translation
Testing