LLMOverTab: Tabular data augmentation with language model-driven oversampling. - Tokimasa Isomura; Ryotaro Shimizu; Masayuki Goto (Expert Syst. Appl., 2025)

Generating realistic synthetic tabular data with integrated LLM and diffusion models. - Tokimasa Isomura; Ryotaro Shimizu; Masayuki Goto (Neurocomputing, 2025)

Sparse attention is all you need for pre-training on tabular data. - Tokimasa Isomura; Ryotaro Shimizu; Masayuki Goto (Neural Comput. Appl., 2025)