English(EN) Agentic-TTT: Training test-time policy for test-time training

新的Agentic-TTT系统学会自主改进模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-09 04:00

研究人员开发了Agentic-TTT，这是一种新颖的方法，使模型能够自主决定何时以及如何应用测试时训练（TTT）。该系统将TTT过程视为可调用的工具，并根据其决策观察到的效用增益来学习策略。Agentic-TTT在基准测试中展示了效用近乎翻倍于骨干模型，学会了在效用和计算成本之间取得平衡，并泛化到新领域。 AI

影响使模型能够从部署经验中自主学习，可能加速自我改进周期。

排序理由这是一篇描述AI模型自改进新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Jiahao Lu, Mohan Kankanhalli · 2026-10-09 04:00

Agentic-TTT：为测试时训练训练测试时策略

arXiv:2610.12002v1 Announce Type: cross Abstract: Test-time training (TTT) adapts an LLM's parameters using signals derived from test inputs, and can make striking improvements in pre-specified settings such as IMO competitions or designated open problems. By turning deployment e…

本文如何被排名

报道来源 [1]

Agentic-TTT：为测试时训练训练测试时策略

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