Self-Improving Tabular Language Models via Iterative Group Alignment
arXiv:2604.18966v1 Announce Type: new
Abstract: While language models have been adapted for tabular data generation, two fundamental limitations remain: (1) static fine-tuning produces models that cannot learn from their own generated samples and adap…