Towards Universal Debiasing for Language Models-based Tabular Data Generation

Tianchun Li, Tianci Liu, Xingchen Wang +4

Large language models (LLMs) have achieved promising results in tabular data generation. However, inherent historical biases in tabular datasets often cause LLMs to exacerbate fair…