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English(EN) Multi-agent Collaboration with State Management

STORM系统通过状态管理改进多智能体代码协作

研究人员推出了一种新颖的面向状态的管理系统STORM,旨在增强在共享代码库上工作的多个AI智能体之间的协作。与依赖工作区隔离和延迟冲突解决的现有方法不同,STORM主动调解智能体交互,以确保一致的视图并在编辑点检测冲突。在Commit0和PaperBench等基准上的评估表明,STORM的性能显著优于基线方法,并在各种LLM上取得了高分。 AI

影响 提高了多智能体系统在代码开发中的效率,可能简化了协作式AI工作流程。

排序理由 该集群包含一篇详细介绍多智能体协作新系统的学术论文。

在 arXiv cs.CL 阅读 →

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STORM系统通过状态管理改进多智能体代码协作

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Mengyang Liu, Taozhi Chen, Zhenhua Xu, Xue Jiang, Yihong Dong ·

    Multi-agent Collaboration with State Management

    arXiv:2605.20563v1 Announce Type: cross Abstract: Recent advances in multi-agent systems have shown great potential for solving complex tasks. However, when multiple agents edit a shared codebase concurrently, their changes can silently conflict and inconsistent views lead to int…

  2. arXiv cs.CL TIER_1 English(EN) · Yihong Dong ·

    Multi-agent Collaboration with State Management

    Recent advances in multi-agent systems have shown great potential for solving complex tasks. However, when multiple agents edit a shared codebase concurrently, their changes can silently conflict and inconsistent views lead to integration failures. Existing multi-agent systems ad…