AI RESEARCH
SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair
arXiv CS.LG
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ArXi:2604.17184v1 Announce Type: cross Large Language Models (LLMs) show promise for automated code repair but often struggle with the complex semantic and structural correctness required. We present SynthFix, a hybrid neural-symbolic framework that improves LLM-based vulnerability repair by unifying code synthesis with compiler-informed symbolic feedback. The core of our approach is an adaptive