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cs.CR2026
On the Reliability of LLM-Based Vulnerability Patching Benchmarks
Dang K Le, Wenxuan Shi, Xinyu Xing
Large language models (LLMs) have shown strong potential for automated vulnerability patching, but current benchmarks can substantially distort reported performance. Drawing on ext…
cs.SE2026
Patch Validation in Automated Vulnerability Repair
Zheng Yu, Wenxuan Shi, Xinqian Sun +3
Automated Vulnerability Repair (AVR) systems, especially those leveraging large language models (LLMs), have demonstrated promising results in patching vulnerabilities -- that is,…