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LLMLOOP: Improving LLM-Generated Code and Tests through Automated Iterative Feedback Loops

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Ravi, Ravin, Bradshaw, Dylan, Ruberto, Stefano, Jahangirova, Gunel, Terragni, Valerio
Format:	Preprint
Publié:	2026
Sujets:	Software Engineering Artificial Intelligence D.2.3; D.2.4; D.2.5; I.2.2
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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