MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion

MuteBench is a new benchmark for evaluating multimodal fusion architectures in clinical AI systems, specifically addressing sensor failures leading to missing data. It covers diverse datasets, fusion architectures, and two missing-data modes, revealing architecture family as the strongest predictor of robustness.