Our paper has been accepted to The 18th Asian Conference on Machine Learning (ACML 2026). This paper proposes SIGMA, a metadata-free LLM-based automated feature engineering method that uses SHAP values and implicit search trajectories.
Xuan Zheng, Kento Uchida, and Shinichi Shirakawa: SIGMA: SHAP-Guided Implicit-Trajectory Generation for Metadata-Free LLM-Based AutoFE, The 18th Asian Conference on Machine Learning (ACML 2026), Melbourne, Australia, December 1-4, 2026. (Accepted) [arXiv] [Code]