arxiv
PublishedSeptember 1, 2026 at 4:00 AM
Creation begins with understanding: LLMs as strategy designers for privacy-preserving tabular data synthesis
Publisher summary· verbatim
arXiv:2608.29674v1 Announce Type: new Abstract: Sharing tabular data in high-stakes domains is constrained by privacy regulations. Synthetic data offer a promising alternative, but deep generative models are costly to train and difficult to audit, while LLM-based methods often serialize records as t
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Originally published on arxiv ↗