Variational Prefix Tuning for diverse and accurate code summarization using pre-trained language models

Recent advancements in source code summarization have leveraged transformer-based pre-trained models, including Large Language Models of Code (LLMCs), to automate and improve the generation of code summaries. However, existing methods often focus on generating a single high-quality summary for a giv...

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Veröffentlicht in:	The Journal of systems and software Jg. 229; S. 112493
Hauptverfasser:	Zhao, Junda, Song, Yuliang, Cohen, Eldan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.11.2025
Schlagworte:	CVAE Diverse generation Large language models Neural networks Pre-trained models Source code summarization Pre-trained models CVAE Source code summarization Large language models Neural networks Diverse generation
ISSN:	0164-1212
Online-Zugang:	Volltext
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