CoT prompting improves LLM performance on control-flow deobfuscation of C benchmarks, yielding ~16% better CFG reconstruction and ~20.5% better semantic preservation for GPT5 versus zero-shot prompting.
Enhancing reverse engineering: Investigating and benchmarking large language models for vulnerability analysis in decompiled binaries
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Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks
CoT prompting improves LLM performance on control-flow deobfuscation of C benchmarks, yielding ~16% better CFG reconstruction and ~20.5% better semantic preservation for GPT5 versus zero-shot prompting.