Google Research introduced TabFM, a zero-shot tabular data foundation model employing three mechanisms—alternating row-column attention, row compression, and in-context learning Transformer—and TabFM Ensemble ranked first on both classification and regression tasks on the Tab Arena benchmark (38 classification datasets and 13 regression datasets).