Author

C. Ansótegui

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Preprint Aug 2026

Synthesizing Feature Extractors: An Agentic Approach for Algorithm Selection

An automated approach that uses Large Language Models in an agentic check--fix--verify loop to synthesize executable Python scripts that act as interpretable, problem-specific feature extractors that consistently outperform both expert-curated mzn2feat features and the best transformer-based trans2feat variants.

Hai Xia, C. Ansótegui, Stefan Szeider · 0 citations