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English(EN) CADWorld: Computer-Use Benchmark for Long-Horizon Computer-Aided Design

新的CADWorld基准测试AI代理在复杂机械设计任务中的能力

研究人员推出了CADWorld,一个旨在评估计算机使用代理在机械计算机辅助设计(CAD)领域复杂、长周期任务中的能力的新基准。该基准包含11个类别共200个任务,专注于在FreeCAD中进行持久、结构化的工件创建和验证。目前的代理在性能上显示出显著差距,最强的代理成功率仅为17.5%,而专家成功率为87.0%,凸显了在延长工作流程中保持几何和结构完整性所面临的挑战。 AI

影响 该基准有望推动能够执行专业工程领域复杂、长期任务的AI代理的进步。

排序理由 该条目描述了一个用于评估特定领域AI代理的新基准,发布在arXiv上。[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CADWorld基准测试AI代理在复杂机械设计任务中的能力

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该条目描述了一个用于评估特定领域AI代理的新基准,发布在arXiv上。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zihan Dong, Yuanzhe Liu, Zhiyuan Ma, Qishi Zhan, Dehan Kong, Guohao Li, Kaixin Li ·

    CADWorld:面向长时域计算机辅助设计的计算机使用基准

    arXiv:2609.16251v1 Announce Type: new Abstract: Computer-use agents are increasingly evaluated in realistic desktop environments, but existing benchmarks provide limited coverage of professional engineering workflows whose outputs are persistent, structured artifacts. Mechanical …