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

arXiv:2510.05935 · cs.LG, cs.AI · Submitted 2025-10-07 · Read on arXiv

cs.LG, cs.AI

Submitted: 2025-10-07

Updated: 2025-10-07

Terminology

• Feature Selection — 3× in this paper · explained in 4 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes

Sources

• Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI
• BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models
• ICE-SEARCH: A Language Model-Driven Feature Selection Approach
• The Rise and Potential of Large Language Model Based Agents: A Survey
• Data Interpreter: An LLM Agent For Data Science
• Wide-range resistivity characterization of semiconductors with terahertz time-domain spectroscopy
• Mixture-of-Agents Enhances Large Language Model Capabilities

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