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English(EN) Mage-VL-Cowork: A Full Training Recipe to Learn Hybrid Computer Use From Evolved Harnesses

新型4B混合智能体Mage-VL-Cowork在OSWorld-Verified基准测试中达到SOTA

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了Mage-VL-Cowork，一个拥有40亿参数的混合计算机使用智能体（CUA），旨在无缝集成视觉GUI交互与代码和终端执行。训练过程采用了五阶段课程，利用Mage-CUA-Forge合成了超过293,000个跨越6,915项技能的桌面和Web任务，显著降低了每任务的支出。这种方法使Mage-VL-Cowork-4B在其参数规模上，在OSWorld-Verified基准测试中达到了最先进的性能，展示了高效的推理能力并推动了设备端智能的发展。 AI

影响 推动了混合计算机使用智能体的设备端智能和高效推理能力的发展。

排序理由 该集群包含一篇详细介绍新型AI模型及其训练方法的 ist 研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新型4B混合智能体Mage-VL-Cowork在OSWorld-Verified基准测试中达到SOTA

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该集群包含一篇详细介绍新型AI模型及其训练方法的 ist 研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Xiaoyi Zhang, Haoqing Wang, Xinjie Zhang, Xiang Ming, Xing Wang, Senqiao Yang, Kaichen Zhang, Zhaoyang Jia, Andong Tan, Xinjiang Wang, Jinghao Guo, Yifei Shen, Xiao Li, Peng Zhang, Xun Guo, Jiahao Li, Shicheng Zheng, Jinglu Wang, Zongyu Guo, Wenxuan Xie,… ·

    Mage-VL-Cowork: A Full Training Recipe to Learn Hybrid Computer Use From Evolved Harnesses

    arXiv:2610.40747v1 Announce Type: new Abstract: Effective computer-use agents (CUAs) should seamlessly combine visual GUI interaction with code and terminal execution within a single policy. We present Mage-VL-Cowork, a 4B hybrid CUA trained from a general multimodally aligned ch…

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