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State-of-the-art VLMs struggle to execute scientific research workflows, revealing a critical gap in their ability to interact with specialized software and produce verifiable results.
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.
Current multimodal models can't handle the rapid-fire tactical analysis required for boxing commentary, as revealed by a new dataset and evaluation framework.