Event ·Multi-source

TMAS：多智能体协同扩展测试时计算

TMAS（多智能体协同扩展测试时计算）是一种新方法，通过让多个AI智能体协同工作来提升模型推理能力，类似于OpenAI o1的“思考链”扩展。该技术无需修改模型参数，仅通过集成多个智能体在测试时分配计算资源，在数学、编程等复杂任务上取得显著效果。这意味着推理模型可能迎来无需大规模训练的升级路径，为资源有限的研究团队提供新思路。

Current read

TMAS探索了多智能体协同扩展测试时计算的范式，无需额外训练即可提升模型性能，对推理模型和智能体系统的发展具有参考价值。

9 sources55° AI heatLast updated 2026/5/12 13:55:18

Evidence

9 sources

Primary sourceAK

2026/5/12 13:55:18View source

Related source 1arXiv: OpenAI

2026/5/11 11:03:43View source

Related source 2OpenAI

2026/5/11 14:16:18View source

Related source 3Greg Brockman

2026/5/12 07:23:05View source

Related source 4歸藏(guizang.ai)

2026/5/12 09:19:06View source

Related source 5Sam Altman Blog

2026/5/12 17:58:44View source

Related source 6Simon Willison’s Weblog

2026/5/12 23:53:01View source

Related source 7Notion

2026/5/13 16:34:04View source

Related source 8Vercel AI

2026/5/14 05:36:28View source

Conflict check

Dedup data only shows that these sources discuss the same event, not that they agree. There is no structured supporting or refuting evidence yet, so no conflict is inferred automatically.

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