MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion

ArXi:2605.15235v1 Announce Type: new Multimodal physiological data powers clinical AI systems from intensive care units to wearable devices, but sensors routinely fail in practice. Two failure modes are common: modality missing, where an entire channel is absent, and within-modality missing, where a contiguous time segment is lost. No existing benchmark evaluates multiple fusion architectures under both failure modes at controlled severity levels across diverse clinical datasets.