Preprint
Aug 2026
Why Large Language Models Fail at Tabular Prediction
The results show that the LLM's capability dissolves with dimension in a way no noise-corrupted classical learner mimics - which explains why LLMs, so capable elsewhere, keep losing to fifty-year-old baselines on tables, while leaving the mechanism of the prediction as an open question.
M. Garnelo, Wojciech M. Czarnecki
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