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PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Peng, Yun, Gotmare, Akhilesh Deepak, Lyu, Michael, Xiong, Caiming, Savarese, Silvio, Sahoo, Doyen
Format:	Preprint
Publié:	2024
Sujets:	Software Engineering Artificial Intelligence Computation and Language Programming Languages
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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