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Doubly Robust Alignment for Large Language Models

This paper proposes a doubly robust preference optimization algorithm that remains consistent when either the preference model or the reference policy is correctly specified (without requiring both).

Erhan Xu, Kai Ye, Hong-Yi Zhou et al. · 14 citations

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