The paper proves that best-of-K explorative training rewards the number of distinct valid outputs a model can emit ('freedom'), and shows freedom-based selection beats child-validation selection under distribution shift.
Ke Li and Jitendra Malik
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Why the Third Axis Is Freedom
The paper proves that best-of-K explorative training rewards the number of distinct valid outputs a model can emit ('freedom'), and shows freedom-based selection beats child-validation selection under distribution shift.