3 papers
cs.SE2026
Multi-Source and Cross-Scenario Strategy-Guided Code Optimization
Yuwei Zhao, Qianyu Xiao, Ye Cui +2
Automated code optimization improves program performance by refactoring source code, and recent studies use LLMs to generate optimization patches. The newest approaches are strateg…
cs.SE2025
SemOpt: LLM-Driven Code Optimization via Rule-Based Analysis
Yuwei Zhao, Yuan-An Xiao, Qianyu Xiao +2
Automated code optimization improves program performance through refactoring, and recent studies leverage LLMs for this purpose. Existing approaches mine optimization commits from…
cs.PL2022
Decomposition-Based Synthesis for Applying Divide-and-Conquer-Like Algorithmic Paradigms
Ruyi Ji, Yuwei Zhao, Yingfei Xiong +3
Algorithmic paradigms such as divide-and-conquer (D&C) are proposed to guide developers in designing efficient algorithms, but it can still be difficult to apply algorithmic paradi…