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Synthesize-Train-Merge (STM) is introduced, a modular framework that synthesizes hard negatives with a top-tier LLM and fine-tunes domain-specialized experts via LoRA before merging them, without continual pre-training, to maximize expert quality.
Case2Flow is introduced, a task designed to retrieve the most relevant guideline flowchart for a given patient case from a collection of guideline documents and CRISP, a training-free scoring method that sharpens late-interaction retrieval by suppressing uninformative patches, discounting ambiguous token matches, and i...
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