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multi-view decompilation

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Multi-View Decompilation Improves LLM-Based Malware Classification, Study Finds Technology
Artificial Intelligence #multi-view decompilation#llm

Multi-View Decompilation Improves LLM-Based Malware Classification, Study Finds

A new study shows that large language models (LLMs) classify decompiled code more accurately when given outputs from multiple decompilers rather than one. Researchers used Ghidra and RetDec to decompile benign and malicious binaries, finding that the multi-view approach improves malicious-class F1, mainly by increasing recall. The work suggests a simple, training-free method to enhance LLM-based malware triage in enterprise security operations.

Jun 21, 2026 1 source