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MAGE-RAG achieves a remarkable 52.75% accuracy on LongDocURL by intelligently balancing evidence coverage and context noise in long-document multimodal QA.
Ventricular dysfunction can be surprisingly well-predicted in a zero-shot manner from ECG diagnostic probabilities, suggesting a structured encoding of cardiac function within these representations.
