6 papers · 1 filter
Integrating adaptive human behavior into epidemic models with large language models
Yicheng Mao, Haoyang Li, Rob Deardon +1
Infectious disease transmission is shaped by patterns of human interaction, which adapt as epidemic conditions change. Capturing these context-dependent behaviors remains a fundame…
Data Mixing as Mixture Experiment: Response Surface Methodology and Optimal Design for Large Language Model Pretraining
Yicheng Mao, Hongru Du
Data mixing is a central design problem in large language model pretraining: given a fixed token budget, practitioners must decide how much data to allocate to each domain. Recent…
DCEDesignSA: A MATLAB-based Graphical User Interface for Discrete Choice Experiment Design Using Simulated Annealing
Yinfu Liu, Yicheng Mao
DCEDesignSA is a freely available MATLAB package for generating Bayesian D-optimal discrete choice experiment designs. It employs Simulated Annealing to efficiently search the desi…
Neural Posterior Estimation for Spatial Individual-Level Epidemic Models
Yicheng Mao, Rob Deardon
Spatial individual-level models (ILMs) provide a flexible framework for modeling infectious disease transmission across populations with known locations. Bayesian inference for the…
Simulated Annealing for Model-Robust Partial Profile Choice Designs in Healthcare Preference Studies
Yicheng Mao, Roselinde Kessels
Discrete Choice Experiments (DCEs) investigate participants' preferences by observing their choice behavior in hypothetical scenarios and are widely used in the domain of healthcar…
LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning
Xinwu Ye, Yicheng Mao, Yuxuan Liao +16
Current chemical large language models (LLMs) predominantly rely on explicit Chain-of-Thought (CoT) to solve complex reasoning problems. However, forcing nonverbal tacit chemical l…