RobustMAD

New benchmark reveals critical robustness gaps in multimodal small language models

Researchers have introduced RobustMAD, a new benchmark designed to evaluate the real-world robustness of multimodal small language models (MSLMs) for industrial anomaly detection. While top-performing MSLMs show promise…