RAGdeterm: Deterministic retrieval-augmented generation for code generation

Large language models (LLMs) are increasingly used in software development, yet effective code generation requires reliable access to up-to-date project-specific source code. This paper introduces RAGdeterm, a deterministic Retrieval-Augmented Generation approach proposed as an alternative to embedd...

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Auteurs principaux:	A. Bochenek, J. Protasiewicz, W. Pedrycz
Format:	Artigo
Langue:	Inglês
Publié:	Elsevier 2026-06-01
Collection:	SoftwareX
Sujets:	Retrieval-augmented generation Large language models Code generation Information retrieval
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S2352711026001299
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