Knowledge-Informed Feature Extraction with LLM Agent Collaboration
Published:Nov 19, 2025 03:27
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
Reference
“The paper focuses on collaborative LLM agents for feature extraction.”