Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions

arXiv:2402.18060v1 Announce Type: new
Abstract: LLMs have demonstrated impressive performance in answering medical questions, such as passing medical licensing examinations. However, most existing benchmarks rely on board exam questions or general medical questions, falling short in capturing the complexity of realistic clinical cases. Moreover, the lack of reference explanations for answers hampers the evaluation of model explanations, which are crucial to supporting doctors in making complex medical decisions. To address these challenges, we construct two new datasets: JAMA Clinical Challenge …

abstract arxiv benchmarking benchmarks board cases clinical complexity cs.cl exam general language language models large language large language models licensing llms medical performance questions reference type