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Reasoning segmentation models stumble by cramming semantic interpretation and spatial localization into a single prompt token; decoupling "what" from "where" hits state-of-the-art grounding while fine-tuning less than 0.4% of the base MLLM.
OCR-EDR transforms OCR error analysis into actionable repairs, achieving a remarkable 94.78% diagnostic accuracy and a 30.99-point boost in formula performance.
