Analyzing the Limitations of Large Language Models in Tabular Data Prediction

This study identifies high dimensionality as the critical factor causing large language models (LLMs) to fail in tabular data prediction tasks, demonstrating that LLM performance degrades with increasing input dimensions while classical models remain stable.

Comments

Read original article