Author

Yicheng Mao

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#artificial intelligence Preprint Aug 2026

Integrating adaptive human behavior into epidemic models with large language models

By leveraging LLMs as a flexible behavioral layer, GABLE provides a framework for coupling context-sensitive behavioral generation with epidemic dynamics and extends beyond forecasting to prospective policy evaluation by projecting behavioral and epidemic responses to candidate interventions before implementation.

Yi-Cheng Mao, Haoying Li, Rob Deardon et al. · 0 citations

#small language model Preprint Aug 2026

Data Mixing as Mixture Experiment: Response Surface Methodology and Optimal Design for Large Language Model Pretraining

The results suggest that LLM data mixing should be treated not only as a prediction problem, but also as an experimental-design problem in which the proxy mixtures themselves can be chosen to improve statistical efficiency.

Yicheng Mao, Hongru Du · 0 citations