English(EN) Self-Evolving Agentic Workflows via Semantic Decomposition of Complex Tasks

新框架支持复杂任务的自演化代理工作流

作者 PulseAugur 编辑部 · [2 个来源] · 2026-11-01 12:18

研究人员开发了一个自演化代理工作流框架，该框架将复杂任务分解为更小、可管理的子任务。这种方法旨在降低调用大型语言模型带来的推理成本和延迟。该框架允许代理根据执行反馈来优化任务分解和更新程序，在GLEE竞赛中的实验证明了其在议价和谈判等领域的有效性。 AI

影响该框架有望为复杂问题解决带来更高效、更具成本效益的AI代理。

排序理由该集群包含一篇详细介绍代理工作流新框架的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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Newsworthiness bucket: Research; 该集群包含一篇详细介绍代理工作流新框架的学术论文。
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arXiv cs.CL TIER_1 English(EN) · Zichuan Fu, Junjia Qi, Xian Wu, Wenlin Zhang, Yimin Deng, Kaifeng Guo, Xiangyu Zhao · 2026-11-04 05:00

通过复杂任务的语义分解实现自演化代理工作流

arXiv:2611.01840v1 Announce Type: cross Abstract: Agentic workflows organize complex tasks into reusable procedures. However, invoking an LLM at every step incurs repeated inference costs and delays. We propose a framework for self-evolving agentic workflows through semantic task…
arXiv cs.MA (Multiagent) TIER_1 English(EN) · Xiangyu Zhao · 2026-11-01 12:18

通过复杂任务的语义分解实现自演化代理工作流

Agentic workflows organize complex tasks into reusable procedures. However, invoking an LLM at every step incurs repeated inference costs and delays. We propose a framework for self-evolving agentic workflows through semantic task decomposition. Each subtask has explicit applicab…