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Zi-Jian Shen

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Preprint Aug 2026

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation

LAB-Tab is proposed, an LLM-augmented Bayesian network (BN) adaptation framework for source-aware few-shot tabular generation that achieves the best performance at the 10% target-data budget, leads four of the six individual scenarios, and reduces the macro Overall score by 33.8% relative to the strongest baseline.

Zijian Shen, Taijie Chen, Bin Zhou et al. · 0 citations

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