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LLMs answering medical questions consistently dilute information when responding to prompts indicating low health literacy, even while answering all questions posed.
Spatial relationships between image patches can be exploited as a powerful, label-free regularizer to significantly improve whole slide image analysis, even with limited annotations.
Even the best LLMs struggle to maintain correct intermediate states when solving university-level STEM problems, often taking more steps than necessary and accumulating errors along the way.
