"MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code ..."

Federico Cassano et al. (2023)

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DOI: 10.1109/TSE.2023.3267446

access: open

type: Journal Article

metadata version: 2023-08-05

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Federico Cassano, John Gouwar, Daniel Nguyen, Sydney Nguyen, Luna Phipps-Costin, Donald Pinckney, Ming-Ho Yee, Yangtian Zi, Carolyn Jane Anderson, Molly Q. Feldman, Arjun Guha, Michael Greenberg, Abhinav Jangda:
MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation. IEEE Trans. Software Eng. 49(7): 3675-3691 (2023)

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