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CodeT: Code Generation with Generated Tests

Published in arXiv (Cornell University) • Jul 21, 2022
NobleIDNI6P32W18R66S98
Authors:
Bei Chen
,
Fengji Zhang
,
Anh Nguyen

Abstract

The task of generating code solutions for a given programming problem can benefit from the use of pre-trained language models such as Codex, which can produce multiple diverse samples. However, a major challenge for this task is to select the most appropriate solution from the multiple samples gener...

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