AI RESEARCH
LLMSynthor: Macro-Aligned Micro-Records Synthesis with Large Language Models
arXiv CS.LG
•
ArXi:2505.14752v3 Announce Type: replace Macro-aligned micro-records are crucial for credible simulations in social science and urban studies. For example, epidemic models are only reliable when individual-level mobility and contacts mirror real behavior, while aggregates match real-world statistics like case counts or travel flows. However, collecting such fine-grained data at scale is impractical, leaving researchers with only macro-level data.