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This work introduces skill-space shooting, which uses foundation model guidance to explore corrections through reusable skills and turn successful trials into policy improvement, and enables scalable and generalizable policy improvement within and across tasks.
This work underscores the need for a holistic approach to uncertainty quantification in recent development of medical vision foundation model, ensuring robust and interpretable AI-driven decision-making and highlights the importance of careful model selection and the inte- gration of both point and region prediction to...
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