2 papers
cs.AI2026
Algebraic Quantum Intelligence: A New Framework for Reproducible Machine Creativity
Kazuo Yano, Jonghyeok Lee, Tae Ishitomi +26
Large language models (LLMs) have achieved remarkable success in generating fluent and contextually appropriate text; however, their capacity to produce genuinely creative outputs…
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…