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PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Peng, Yun, Gotmare, Akhilesh Deepak, Lyu, Michael, Xiong, Caiming, Savarese, Silvio, Sahoo, Doyen
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Software Engineering Artificial Intelligence Computation and Language Programming Languages
Accesso online:	Acceder al recurso
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