Uncertainty-Aware Budget Allocation for Adaptive Test-Time Reasoning 事件

Uncertainty-Aware Budget Allocation for Adaptive Test-Time Reasoning arXiv:2605.26849v1 Announce Type: new Abstract: Sampling multiple responses improves language model reasoning, but uniform compute allocation is inefficient: easy questions are over-sampled while hard questions remain under-explored. We propose Uncertainty-Aware Budget Allocation (UAB), a concave integer optimization framework that reallocates a fixed sampling budget based on per-question uncertainty estimated at no additional