Creation begins with understanding: LLMs as strategy designers for privacy-preserving tabular data synthesis
This work introduces Tabular Synthesis Strategy Designer, which uses an LLM to design synthesis procedures rather than directly generate records, and provides the LLM with tree-derived summaries of variable dependence rather than raw records, which produces Python programs for local execution and evaluation.
Jin-Meng Li, Quan Zhang, Hangting Ye et al.
· 0 citations