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CodeT: Code Generation with Generated Tests. (arXiv:2207.10397v2 [cs.CL] UPDATED)
Nov. 24, 2022, 7:18 a.m. | Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen
cs.CL updates on arXiv.org arxiv.org
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 generated by
the pre-trained language models. A natural way to evaluate the quality and
correctness of a code solution is to run it against a set of test cases, but
the manual creation …
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