AINeutralarXiv – CS AI · 5h ago6/10
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LLM Agent-Assisted Reverse Engineering with Quantitative Readability Metrics
Researchers present a Quantitative Readability Score (QRS) framework that enables LLM agents to improve the readability of decompiled code while maintaining functional correctness. The approach combines structural similarity validation with three independent readability metrics (Lexical Surprisal, Structural Simplicity, and Idiomatic Quality) to guide code refinement without unintended optimization artifacts.