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

> Полный текст доступен на английском

**Published:** 3 ноября 2026 г.
**Author:** Quang Hung Nguyen, Hanh Nguyen, Thanh Tam Nguyen, Quoc Viet Hung Nguyen, Trinh Pham, Thanh Trung Huynh
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/ru/articles/early-stopping-in-large-reasoning-models-a-survey-and-empirical-audit-of

arXiv:2611.00166v1 Announce Type: new Abstract: Large reasoning models can improve accuracy by generating longer reasoning traces, but some of this computation may be unnecessary. Early-stopping methods aim to stop once enough reasoning is available to answer. Evaluating these…

> Материал агрегирован из первоисточника: **arXiv — cs.AI**
> [Читать полностью в arXiv — cs.AI](https://arxiv.org/abs/2611.00166)

**Теги:** #arXiv

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