Google's TabFM-Auto Lets LLM Agents Master Tabular Data Pipelines

Google Research released TabFM-Auto, combining the TabFM tabular foundation model with an LLM agent that iteratively optimizes data cleaning, feature engineering and context selection. The system gained 228 Elo points, addressing LLMs' weakness with large-scale numerical data.

2026-09-30 ~ 2026-10-01 · 2 related posts

• Google's TabFM-Auto: LLM agent evolves data pipelines, lifting TabFM by 228 Elo and topping MLE-Bench — google · 2026-09-30
• Google researcher unveils TabFM-Auto, pairing tabular foundation models with LLM world knowledge — robinomial · 2026-10-01