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Forget uniform resampling – targeting high-entropy decision points in reasoning traces unlocks better performance than RL-trained models, all without extra training data or compute.
Differential privacy imposes fundamental limits on language *identification*, even when it doesn't preclude language *generation*, revealing a surprising divergence in their privacy costs.
