Calibration-Free Early Stopping for Chain-of-Thought Reasoning via E-processes.

arXiv:2610.25212v1 Announce Type: cross Abstract: Reasoning large language models (LLMs) benefit from test-time scaling, motivating adaptive policies that spend tokens when they help and stop early otherwise. Existing rules halt when a confidence or stability