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PSEBench: A Controllable and Verifiable Benchmark for Evaluating LLMs in Patient Safety Event Triage

cs.AI updates on arXiv.org·
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A new benchmark called PSEBench has been developed to evaluate large language models (LLMs) in the context of patient safety event triage, addressing the need for reliable assessment tools in this critical area. The benchmark, which includes 5,074 cases, aims to enhance the accuracy and reliability of LLMs in determining reportable clinical events under specific policies.

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PSEBenchLLMsMinnesotapatient safety

Originally reported by cs.AI updates on arXiv.org. Read the full article ↗

PSEBench: A Controllable and Verifiable Benchmark for Evaluating LLMs in Patient Safety Event Triage | AI Crypto Daily Wire