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English(EN) ATLAS: Dual-Horizon Diagnostic Evaluation for Industrial Tool-Use Agents

新的ATLAS框架增强了用于工业用途的大语言模型代理的评估

研究人员推出了一种新颖的双视界诊断评估框架ATLAS,用于评估由大语言模型驱动的工业工具使用代理。该框架旨在通过识别能力缺陷并指导优化优先级来提高这些代理的可靠性。ATLAS在请求视界提供轨迹信号,以查明执行问题;在交互视界提供用户信号,以确保跨用户互动的持续响应能力。该系统已在美团小团的生产流量上进行了评估,展示了用户参与度和业务成果的提升。 AI

影响 增强了在真实工业应用中对大语言模型代理的评估和优化。

排序理由 该集群描述了一篇关于大语言模型代理新评估框架的最新研究论文。[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 →

新的ATLAS框架增强了用于工业用途的大语言模型代理的评估

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29 / 100
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Tool
该集群描述了一篇关于大语言模型代理新评估框架的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, product
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High
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Breaking (< 6h)
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Wei Chen, Peilun Zhou, Zhaoyu Hu, Jiajun Chai, Zhongni Hou, Yufei Zhang, Derong Xu, Guojun Yin, Wei Lin, Zhi Zheng, Tong Xu ·

    ATLAS:工业工具使用代理的双视界诊断评估

    arXiv:2608.30685v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly deployed in user-facing services that require iterative tool use under dynamic business conditions. Reliable evaluation is essential for sustained improvement: it must reveal capabi…