FEST uses self-evolving trees to produce expert-aligned, auditable features from unstructured data and outperforms baselines on brand, authenticity, and stress tasks while releasing the BrandGuide dataset.
Embedding domain-specific knowledge from llms into the feature engineering pipeline.arXiv preprint arXiv:2503.21155, 2025
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Bridging Expert Knowledge and Automated Feature Engineering via Self-Evolution
FEST uses self-evolving trees to produce expert-aligned, auditable features from unstructured data and outperforms baselines on brand, authenticity, and stress tasks while releasing the BrandGuide dataset.