2 papers
cs.SE2026
A Study on the Impact of Natural Language Differences in Prompts on Automatic Code Generation Using LLMs
Haruka Tokumasu, Masanari Kondo, Alexander Serebrenik +5
Large Language Models (LLMs) have demonstrated remarkable performance in automatic code generation tasks, thereby encouraging new research in this area. Although numerous studies h…
cs.SE2026
Let's Make Every Pull Request Meaningful: An Empirical Analysis of Developer and Agentic Pull Requests
Haruhiko Yoshioka, Takahiro Monno, Haruka Tokumasu +4
The automatic generation of pull requests (PRs) using AI agents has become increasingly common. Although AI-generated PRs are fast and easy to create, their merge rates have been r…