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.
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