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.
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