EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering and Reasoning 事件

EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering and Reasoning arXiv:2601.03471v3 Announce Type: replace Abstract: Reliable epidemiological reasoning requires synthesizing study evidence to infer disease burden, transmission dynamics, and intervention effects at the population level. Existing medical question answering benchmarks primarily emphasize clinical knowledge or patient-level reasoning, yet few systematically evaluate evidence-grounded epidemiological in