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Multimodal decision models struggle with breast ultrasound classification, with even the best configurations falling below majority-class baselines on challenging datasets, revealing significant benign-to-malignant confusion.
Multimodal preference optimization can dramatically enhance the translation quality of degraded historical manuscripts, achieving superior results in lexical and semantic accuracy.