C-ing Clearly: Enhanced Binary Code Explanations using C code

• URL: http://arxiv.org/abs/2512.14500v1
• Date: Tue, 16 Dec 2025 15:36:29 GMT
• Title: C-ing Clearly: Enhanced Binary Code Explanations using C code
• Abstract summary: Large Language Models (LLMs) excel at coding tasks involving high-level programming languages.<n>We propose a synthetic data generation method named C-ing Clearly, which leverages the corresponding C code to enhance an LLM's understanding of assembly.
• Score: 1.7452931180966467
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Large Language Models (LLMs) typically excel at coding tasks involving high-level programming languages, as opposed to lower-level programming languages, such as assembly. We propose a synthetic data generation method named C-ing Clearly, which leverages the corresponding C code to enhance an LLM's understanding of assembly. By fine-tuning on data generated through our method, we demonstrate improved LLM performance for binary code summarization and vulnerability detection. Our approach demonstrates consistent gains across different LLM families and model sizes.

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