arXiv cs.LGPaper
More Correct Mass, Worse Answers: Why Power Sampling Can Fail and How to Fix It
Power Sampling looked like a free win for inference-time reasoning, but it breaks under certain conditions because it's too aggressive. If you've implemented it or are considering it, this paper explains why it might be silently harming performance. The fix requires per-problem tuning, not a single exponent, which raises the implementation bar.