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Why Large Language Models Fail at Tabular Prediction
Arxiv.org·August 4, 2026·1 min read
AI Summary
Large language models (LLMs) struggle with predictive analytics tasks involving tabular data, despite their success in other areas. This limitation highlights a significant gap in the capabilities of LLMs for common machine learning workloads.
From the source
Large language models (LLMs) have become the default tool for a remarkable range of tasks, yet they have had conspicuously little success at one of the most common machine learning workloads: predictive analytics over tabular data. This gap is the founding pr…
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