CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation

Utilizing large language models to generate codes has shown promising meaning in software development revolution. Despite the intelligence shown by the general large language models, their specificity in code generation can still be improved due to the syntactic gap and mismatched vocabulary existin...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2024-11
Hauptverfasser:	Du, Kounianhua, Chen, Jizheng, Renting Rui, Chai, Huacan, Fu, Lingyue, Xia, Wei, Wang, Yasheng, Tang, Ruiming, Yu, Yong, Zhang, Weinan
Format:	Artikel
Sprache:	eng
Schlagworte:	Large language models Natural language Natural language (computers) Programming languages Retrieval Software development Syntax
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!