Interactive End-to-End Decompilation via Large Language Models Article Swipe

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Yun‐Long Feng , Xiaoming Shi , Wanxiang Che ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.3390/electronics14224442

The goal of decompilation is to convert compiled low-level code (e.g., assembly code) back into high-level programming languages, enabling analysis in scenarios where source code is unavailable. This task supports various reverse engineering applications, such as vulnerability identification, malware analysis, and legacy software migration. The end-to-end decompilation method based on large language models (LLMs) reduces reliance on additional tools and minimizes manual intervention due to its inherent properties. However, previous end-to-end methods often lose critical information necessary for reconstructing control flow structures and variables when processing binary files, making it challenging to accurately recover the program’s logic. To address these issues, we propose the ReF Decompile method, which incorporates the following innovations: (1) The Relabeling strategy replaces jump target addresses with labels, preserving control flow clarity. (2) The Function Call strategy infers variable types and retrieves missing variable information from binary files. Experimental results on the Humaneval-Decompile Benchmark demonstrate that ReF Decompile surpasses comparable baselines and achieves state-of-the-art (SOTA) performance of 61.43%.

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Type: article
Language: en
Landing Page: https://doi.org/10.3390/electronics14224442
PDF: https://www.mdpi.com/2079-9292/14/22/4442/pdf?version=1763116553
OA Status: gold
References: 11
OpenAlex ID: https://openalex.org/W4416228328

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OpenAlex ID: https://openalex.org/W4416228328

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DOI: https://doi.org/10.3390/electronics14224442

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Title: Interactive End-to-End Decompilation via Large Language Models

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-11-14

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Authors: Yun‐Long Feng, Xiaoming Shi, Wanxiang Che

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Landing page: https://doi.org/10.3390/electronics14224442

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PDF URL: https://www.mdpi.com/2079-9292/14/22/4442/pdf?version=1763116553

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