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Medical MLLMs, despite their size and training data, stumble on basic image classification due to four key failure modes, revealing a disconnect between hype and clinical readiness.
Multi-agent prompt refinement can significantly boost text-to-video generation quality in complex scenarios, exceeding SOTA baselines by up to 3.28% on standard benchmarks.
Current multimodal models can't handle the rapid-fire tactical analysis required for boxing commentary, as revealed by a new dataset and evaluation framework.
