3 papers
cs.SE2025
PEACE: Towards Efficient Project-Level Efficiency Optimization via Hybrid Code Editing
Xiaoxue Ren, Jun Wan, Yun Peng +5
Large Language Models (LLMs) have demonstrated significant capability in code generation, but their potential in code efficiency optimization remains underexplored. Previous LLM-ba…
cs.SE2025
Enhancing Project-Specific Code Completion by Inferring Internal API Information
Le Deng, Xiaoxue Ren, Chao Ni +3
Project-specific code completion is a critical task that leverages context from a project to generate accurate code. State-of-the-art methods use retrieval-augmented generation (RA…
cs.SE2024
FlexFL: Flexible and Effective Fault Localization with Open-Source Large Language Models
Chuyang Xu, Zhongxin Liu, Xiaoxue Ren +3
Due to the impressive code comprehension ability of Large Language Models (LLMs), a few studies have proposed to leverage LLMs to locate bugs, i.e., LLM-based FL, and demonstrated…