Model Editing for LLMs4Code: How Far are we?

Large Language Models for Code (LLMs4Code) have been found to exhibit outstanding performance in the software engineering domain, especially the remarkable performance in coding tasks. However, even the most advanced LLMs4Code can inevitably contain incorrect or outdated code knowledge. Due to the h...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Proceedings / International Conference on Software Engineering S. 937 - 949
Hauptverfasser:	Li, Xiaopeng, Wang, Shangwen, Li, Shasha, Ma, Jun, Yu, Jie, Liu, Xiaodong, Wang, Jing, Ji, Bin, Zhang, Weimin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 26.04.2025
Schlagworte:	Adaptation models Benchmark testing Code Generation Code Summarization Codes Encoding Large language models LLMs4Code Maintenance engineering Model Editing Semantics Software engineering Systematics Training
ISSN:	1558-1225
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!