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Department of Computer Science, University of Virginia
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A 3B parameter model, Med-V1, matches the evidence attribution performance of GPT-5 in biomedical contexts, offering a scalable alternative to frontier LLMs.
Achieve GAM-level interpretability with deep learning accuracy by dynamically gating feature interactions through a mixture of experts.
