AI & ML
impact 16
Self-Improving Tabular Language Models via Iterative Group Alignment
Self-Improving Tabular Language Models via Iterative Group Alignment arXiv:2604.18966v1 Announce Type: cross Abstract: While language models have been adapted for tabular data generation, two fundamental limitations rem…
Why it matters
The timing matters: tabular is converging with shifts in language, which could amplify the downstream impact.