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#machine learning Preprint Sep 2026

Code-to-Harness: Distilling Black-Box Optimizers from Self-Play

This work studies low-budget black-box optimization, where unaided language models remain well below strong classical optimizers and attains the lowest regret on a sealed YouTube reward-tuning production benchmark.

Yi Wu, Zheng Ren, Zhi-Yu Hu et al. · 0 citations

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