Author

Hangting Ye

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#artificial intelligence Preprint Sep 2026

Beyond Distribution Matching: Semantics-Consistent Tabular Diffusion with Weak Semantic Priors

Extensive experiments on six real-world tabular benchmarks show that the proposed semantics-consistent tabular diffusion framework consistently improves distributional fidelity, semantic consistency, and downstream task utility over representative VAE, GAN, LLM, and diffusion-based baselines.

Yi-Li Wang, Ru-Xue Shi, Mengnan Du et al. · 0 citations

#machine learning Preprint Aug 2026

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