Why Large Language Models Fail at Tabular Prediction
- This gap is the founding premise of the fast-growing field of tabular foundation models, but the question of why generic LLMs fail has remained open.
- We study a frontier LLM in its purest inference regime - a single generation pass over a prompt containing the full training and test data, with no tools, no agentic scaffolding, a
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- This gap is the founding premise of the fast-growing field of tabular foundation models, but the question of why generic LLMs fail has remained open.
- We study a frontier LLM in its purest inference regime - a single generation pass over a prompt containing the full training and test data, with no tools, no agentic scaffolding, a
Sources: Arxiv