A Technical Exploration of Causal Inference with Hybrid LLM Synthetic Data

Dana Kim, Yichen Xu, Tiffany Lin

Large Language Models (LLMs) offer a flexible means to generate synthetic tabular data, yet existing approaches often fail to preserve key causal parameters such as the average tre…