Author

Yifan Peng

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#machine learning Preprint Mar 2026

Efficient K-generalizable Learned Search

This paper shows that learned search can support arbitrary K with the preprocessing cost of a single top-1 model, and reduces total serving and preprocessing computation by up to 28%.

Yifan Peng, Jia-Fei Fan, Xing-Da Wei et al. · 0 citations