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cs.SE2026
Detect--Repair--Verify for LLM-Generated Code: A Multi-Language, Multi-Granularity Empirical Study
Cheng Cheng
Large language models can generate runnable software artifacts, but their security remains difficult to evaluate end to end. This study examines that problem through a Detect--Repa…
cs.SE2026
Detect Repair Verify for Securing LLM Generated Code: A Multi-Language Empirical Study
Cheng Cheng
Large language models are increasingly used to produce runnable software. In practice, security is often addressed through a Detect--Repair--Verify (DRV) loop that detects issues,…