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Findings in Insurance Reported from Chongqing University of Science and Technology (Optimal Reinsurance-investment Game for Two Insurers With Sahara Utilities Under Correlated Markets): Insurance

Findings in Insurance Reported from Chongqing University of Science and Technology (Optimal Reinsurance-investment Game for Two Insurers With Sahara Utilities Under Correlated Markets): Insurance
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United States , Yong He , New York , Dengsheng Chen , Monte Carlo , Zhengyang Lu , China Postdoctoral Science Foundation , Elsevier Science Inc , University Of Science , Program Of Chongqing Natural Science Foundation , Insurance Daily , Reporter Staff News Editor , Chongqing Natural Science Foundation , Optimal Reinsurance Investment Game , North American Journal , Science Inc , Sch Math Phys , Data Sci ,

Large language models encode clinical knowledge

Large language models (LLMs) have demonstrated impressive capabilities, but the bar for clinical applications is high. Attempts to assess the clinical knowledge of models typically rely on automated evaluations based on limited benchmarks. Here, to address these limitations, we present MultiMedQA, a benchmark combining six existing medical question answering datasets spanning professional medicine, research and consumer queries and a new dataset of medical questions searched online, HealthSearchQA. We propose a human evaluation framework for model answers along multiple axes including factuality, comprehension, reasoning, possible harm and bias. In addition, we evaluate Pathways Language Model1 (PaLM, a 540-billion parameter LLM) and its instruction-tuned variant, Flan-PaLM2 on MultiMedQA. Using a combination of prompting strategies, Flan-PaLM achieves state-of-the-art accuracy on every MultiMedQA multiple-choice dataset (MedQA3, MedMCQA4, PubMedQA5 and Measu ....

New York , United States , White House , District Of Columbia , South Korea , Ben Abacha , Public Health , Governance Of Artificial Intelligence For Health , Peril National Academy Of Medicine , Health Technology , Artificial Intelligence In Health Care , Guidance World Health Organization , White House Office Of Science , Proceedings Of Machine Learning Research , C Development , Conference On Health , New York Times , Stanford University , Meeting Of The Association For Computational Linguistics , Association Of Computational Machinery , Association For Computational Linguistics , International Conference On Machine , Association For Computing Machinery , Annual Meeting , Computational Linguistics , Computational Machinery ,