3 papers
cs.SE2025
Empirical Evaluation of Large Language Models in Automated Program Repair
Jiajun Sun, Fengjie Li, Xinzhu Qi +2
The increasing prevalence of software bugs has made automated program repair (APR) a key research focus. Large language models (LLMs) offer new opportunities for APR, but existing…
cs.SE2024
Hybrid Automated Program Repair by Combining Large Language Models and Program Analysis
Fengjie Li, Jiajun Jiang, Jiajun Sun +1
Automated Program Repair (APR) has garnered significant attention due to its potential to streamline the bug repair process for human developers. Recently, LLM-based APR methods ha…
cs.LG2024
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models
Junjie Yang, Jiajun Jiang, Zeyu Sun +1
Fairness has been a critical issue that affects the adoption of deep learning models in real practice. To improve model fairness, many existing methods have been proposed and evalu…