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cs.SE2026
VulnGym: Benchmarking Coding Agents for Repository-Level Vulnerability Detection
Kexing Ji, Jiachen Liu, Enze Hu +7
Recent advances in LLM-based vulnerability detection have shown promising results, while coding agents further extend this capability from isolated code snippets to complete reposi…
cs.SE2026
Unseen-Codebases-Domain Data Synthesis and Training Based on Code Graphs
Guangsheng Ou, Qiming Zhang, Sirong Chen +9
In the context of newly release software frameworks, large language models (LLMs) often exhibit poor performance and a high rate of hallucination, as they are not exposed to such e…