Early Stopping in Large Reasoning Models: A Survey and Empirical Audit of Efficiency and Reliability

Large reasoning models can improve accuracy by generating longer reasoning traces, but some computation may be unnecessary. Early-stopping methods aim to stop once enough reasoning is available to answer. Target-Integrated Token Efficiency (TITE) is introduced to measure efficiency relative to the oracle across accuracy targets.