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Expert-informed Skill prompting achieves remarkable cross-dataset consistency, outperforming traditional fine-tuning in stability while still allowing for high accuracy on native data.
PathScale-R1 outperforms existing models in multi-scale reasoning, revealing that integrating diverse magnification levels can significantly enhance diagnostic accuracy.
CoMSMark achieves over 90% watermark accuracy while effectively thwarting multi-screen collusion attacks, setting a new standard for image-agnostic watermarking.
