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English(EN) FDE-Bench: Evaluating End-to-End Delivery from Underspecified Real-World Business Requests

新的FDE-Bench基准揭示AI代理难以处理不明确的业务任务 · 跟踪2个来源

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出了FDE-Bench，这是一个旨在评估AI代理处理通常不明确的真实世界业务请求的能力的新基准。与从明确目标开始的现有基准不同，FDE-Bench侧重于需要交互式澄清和迭代优化的任务，模仿了前线部署工程师的过程。该基准包含49个跨优化和机器学习的案例，结果显示，即使使用18种不同的代理配置，达到的最高平均交付得分也仅为0.5510，远低于人类参考得分1.0，这表明代理在处理此类复杂任务的端到端交付方面仍然存在困难。 AI

影响 凸显了当前AI代理能力与现实世界业务问题解决的细微要求之间的差距。

排序理由 该集群描述了在arXiv上发表的一篇新基准论文。

在 arXiv cs.AI 阅读 →

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

新的FDE-Bench基准揭示AI代理难以处理不明确的业务任务 · 跟踪2个来源

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该集群描述了在arXiv上发表的一篇新基准论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Huaiming Li, Can Huang, Chufan Wu, Danyu Liu, Xiaomin Yuan, Qinze Li, Yui Lo, Wenhui Bai, Qianlong Wang, Zengle Ge, Xiyu Yan, Yuheng Cheng, Jinhui Ren, Guokai Chen, Jiaqun Liu, Haoran Li, Qianhui Liu, Annan Li, Jianmin Wu, Dawei Yin, Dou Shen ·

    FDE-Bench：评估来自不明确的真实世界业务请求的端到端交付

    arXiv:2610.14539v1 Announce Type: new Abstract: Real-world business requests often leave key requirements unstated because frontline practitioners struggle to articulate rules they know from experience. Forward-deployed engineers (FDEs) must elicit these requirements through dial…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Dou Shen ·

    FDE-Bench：评估来自不明确的真实世界业务请求的端到端交付

    Real-world business requests often leave key requirements unstated because frontline practitioners struggle to articulate rules they know from experience. Forward-deployed engineers (FDEs) must elicit these requirements through dialogue and iteratively optimize solutions until th…

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