EP392: Small models beat giants at malware analysis

Title: Small, Free, and Effective: Orchestrating Open-Weight Small Language Models to Outperform Single LLM for Malware AnalysisSource: http://arxiv.org/abs/2607.20216v1Summary:This research presents a novel agentic reasoning framework demonstrating how orchestrating multiple small, open-weight language models can achieve superior performance compared to a single large LLM. This represents a significant efficiency and reasoning breakthrough, fostering the development of more accessible, scalable, and effective Agentic AI systems.