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This paper introduces EHR-ReasonCon, a reasoning-intensive benchmark for consistency verification between clinical notes and structured tables in electronic health records, and EHR-Inspector, an LLM-based framework that achieves state-of-the-art performance in detecting discrepancies.
Introduces StructuredSemanticSearch, a model search framework that combines semantic similarity with structured table discovery to improve diversity and coverage of recommended models, evaluated on a benchmark of 597 queries.