一作ACL 2026Poster· Natural Language Processing
Memory-Augmented LLM -based Multi-Agent System for Automated Feature Generation on Tabular Data
FengXian Dong · Zhi Zheng · Xiao Han · Wei Chen · Jingqing Ruan · an Jiaotong University) · Yong Chen · Enhong Chen (University of Science and Technology of China &
摘要
Automated feature generation extracts informative features from raw tabular data without manual intervention and is crucial for accurate, generalizable machine learning. Traditional methods rely on predefined operator libraries and cannot leverage task semantics, limiting their ability to produce...