2 papers
cs.CR2026
Patch-to-PoC: A Systematic Study of Agentic LLM Systems for Linux Kernel N-Day Reproduction
Juefei Pu, Xingyu Li, Zhengchuan Liang +5
Autonomous large language model (LLM) based systems have recently shown promising results across a range of cybersecurity tasks. However, there is no systematic study on their effe…
cs.SE2025
Rethinking Kernel Program Repair: Benchmarking and Enhancing LLMs with RGym
Kareem Shehada, Yifan Wu, Wyatt D. Feng +4
Large Language Models (LLMs) have revolutionized automated program repair (APR) but current benchmarks like SWE-Bench predominantly focus on userspace applications and overlook the…