Zhongnian Li

1 indexed paper

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Software Eng.×1AI×1Crypto×1

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Qiang Zhang1×

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2026

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference

The paper proposes CoDe-R, a two-stage framework that significantly improves the accuracy and re-executability of decompiled code generated by LLMs, achieving a new SOTA in the lightweight regime.

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Papers

cs.SEcs.AIcs.CRRecentApr 14, 2026

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference

Qiang Zhang, Zhongnian Li

The paper proposes CoDe-R, a two-stage framework that significantly improves the accuracy and re-executability of decompiled code generated by LLMs, achieving a new SOTA in the lightweight regime.

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