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M. A. Jamshed

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#artificial intelligence Jan 2026

Continuous-Utility Direct Preference Optimization

It is proved that learning with K strategies yields a Theta(K log K) improvement in sample complexity over binary preferences and that DPO converges to the entropy-regularized utility-maximizing policy.

M. Mohsin, Muhammad Umer, Ahsan Bilal et al. · arXiv.org · 0 citations