Large language model-generated patterns for epidemiological modeling: a multi-benchmark evaluation framework
Representing individual-level behavioral heterogeneity is challenging in epidemiological modeling, particularly when empirical behavioral data are sparse. We assess the potential of large language model (LLM)-generated behavioral outputs in addressing this challenge, using hepatitis C virus-related behaviors among peop...
Sophia Mao, Keshav Gandhi, Alexander Gutfraind
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