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English(EN) SaaS-Bench: Can Computer-Use Agents Leverage Real-World SaaS to Solve Professional Workflows?

新基准揭示AI代理难以处理真实的SaaS任务

研究人员推出了SaaS-Bench,这是一个旨在评估计算机使用代理(CUA)在现实专业工作流程中的新基准。该基准跨越六个领域,使用了23个软件即服务(SaaS)系统,包含106项需要长周期执行的任务,这些任务可以是纯文本或多模态的。初步实验显示,目前基于LLM的代理表现不佳,端到端完成的任务不到4%,这凸显了在规划、状态跟踪和跨应用程序上下文维护方面存在的重大局限性。 AI

影响 强调了当前AI代理在专业工作流程中的局限性,表明在实际应用中需要改进规划和上下文管理。

排序理由 该集群包含一篇介绍AI代理评估新基准的研究论文。[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 →

新基准揭示AI代理难以处理真实的SaaS任务

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该集群包含一篇介绍AI代理评估新基准的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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135 days old
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Kean Shi, Zihang Li, Tianyi Ma, Zengji Tu, Jialong Wu, Xinbo Xu, Qingyao Yang, Ruoyu Wu, Weichu Xie, Ming Wu, Jason Zeng, Michael Heinrich, Elvis Zhang, Liang Chen, Kuan Li, Baobao Chang ·

    SaaS-Bench:计算机使用代理能否利用真实世界的SaaS来解决专业工作流程?

    arXiv:2605.15777v2 Announce Type: replace Abstract: Computer-Using Agents (CUAs) are rapidly extending large language models (LLMs) beyond text-based reasoning toward action execution in more complex environments, such as web browsers and graphical user interfaces (GUIs). However…