Maria-Florina Balcan
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2026
Reward Learning from Best-of-$N$ Preference Data: Targets, Tradeoffs, and Design Principles
This paper analyzes Best-of-$N$ preference data, deriving explicit reward targets for independent-reference variants and establishing design principles for choosing $N$ and the base distribution to optimize reward learning.
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