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The paper introduces ARCagent, an adaptive retrieval calibration agent for clinical question answering in ME/CFS, where diagnostic guidelines actively contradict each other. It contributes a conflict-aware retrieval re-ranking pipeline and an LLM-as-Judge benchmark, achieving 95.3% accuracy and outperforming base LLMs.
LongMedBench is a new benchmark for evaluating LLM-based medical agents on long-horizon clinical decision-making using real EHR data from MIMIC-IV. It includes 335 patients with multiple visits and proposes evaluation suites for fact-based QA, temporal reasoning, and long-horizon decision-making.