An Empirical Study on Fine-Tuning Large Language Models of Code for Automated Program Repair

The advent of large language models (LLMs) has opened up new opportunities for automated program repair (APR). In particular, some recent studies have explored how to leverage large language models of code (LLMCs) for program repair tasks and show promising results. However, most of them adopt the z...

Full description

Bibliographic Details

Published in:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] pp. 1162 - 1174
Main Authors:	Huang, Kai, Meng, Xiangxin, Zhang, Jian, Liu, Yang, Wang, Wenjie, Li, Shuhao, Zhang, Yuqing
Format:	Conference Proceeding
Language:	English
Published:	IEEE 11.09.2023
Subjects:	Automated Program Repair Benchmark testing Codes Computer bugs Computer languages Fine-Tuning Java Large Language Models of Code Maintenance engineering Measurement Neural Machine Translation
ISSN:	2643-1572
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!