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Multimodal preference optimization can dramatically enhance the translation quality of degraded historical manuscripts, achieving superior results in lexical and semantic accuracy.
Distilling knowledge from a Mamba-based teacher network significantly boosts the performance of quantized INT8 super-resolution models, enabling high-quality image enhancement on resource-constrained mobile devices.