Author

Hao-Sen Yang

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Preprint Aug 2026

More Correct Mass, Worse Answers: Why Power Sampling Can Fail and How to Fix It

Power Sampling sharpens a language model's distribution over complete generation trajectories, offering a verifier-free way to improve reasoning at inference time. It also has the potential to serve as a general-purpose front end for a broad range of downstream sampling methods. However, we uncover a striking paradox:...

Hao-Sen Yang, Jia-Xing Sun, Xiujun Ma · 1 citation