LLM-FS-Agent: A Deliberative Role-based Large Language Model Architecture for Transparent Feature Selection

High-dimensional data remains a pervasive challenge in machine learning, often undermining model interpretability and computational efficiency. While Large Language Models (LLMs) have shown promise for dimensionality reduction through feature selection, existing LLM-based approaches frequently lack