Knowledge-Informed Feature Extraction with LLM Agent Collaboration

This ArXiv paper explores a novel approach to automated feature extraction leveraging the capabilities of collaborative Large Language Model (LLM) agents. The use of knowledge-informed methods suggests an attempt to improve the quality and relevance of extracted features.