AINeutralarXiv – CS AI · 6h ago6/10
🧠
Multi-View Decompilation for LLM-Based Malware Classification
Researchers demonstrate that using multiple decompilers (Ghidra and RetDec) with large language models improves malware classification accuracy compared to single-decompiler approaches. By providing complementary pseudo-C views of the same binary, the multi-view strategy increases recall on malicious samples without requiring additional training, offering a practical enhancement for LLM-based malware triage.