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University of Texas at Austin
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AI reviewers can be gamed by merely altering how research is presented, achieving significant score increases without changing the underlying science.
LLMs in medical diagnosis are alarmingly prone to jumping to conclusions, often answering before seeing all the evidence, but strategically delaying the question and evidence presentation can boost accuracy by up to 62.6%.
PathMoE reveals the specific modality interactions driving individual predictions in pediatric brain tumor classification, offering crucial interpretability for rare tumor subtypes.
