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Statistical Early Stopping for Reasoning Models
提出用统计方法为推理模型设计早停策略，显著提升计算效率而不损失准确度。
arXiv:2602.13935v2 Announce Type: replace-cross Abstract: While LLMs have seen substantial improvement in reasoning capabilities, they also sometimes …
2
A Principled Self-Referenced Early Stopping Approach for Deep Image Prior
提出一种无需额外数据的自参考早停方法，有效解决Deep Image Prior中的过拟合与退化问题，提升图像重建质量。
arXiv:2605.25299v1 Announce Type: cross Abstract: Recently, Deep Image Prior (DIP) has demonstrated strong capabilities for solving inverse imaging pr…
3
Early Stopping Chain-of-thoughts in Large Language Models
论文提出早停链式思维方法，减少大模型推理成本，无需白盒干预。
arXiv:2509.14004v2 Announce Type: replace Abstract: Reasoning large language models (LLMs) have demonstrated superior capacities in solving complicate…