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English(EN) WordInferBench: Can Agents Infer How to Edit from Word Document Context?

新基准揭示AI代理在推断文档编辑方面存在困难

引入了一个名为WordInferBench的新基准,用于评估AI代理从文档上下文中推断编辑指令的能力,而不是依赖于完全指定的命令。该基准包含280个源自真实文档的实例,在描述性、指代性和推断性指令条件下测试代理。使用WordInferBench进行的早期评估显示,即使是表现最好的系统Claude Code with Opus 4.6,在推断性任务上也遇到了困难,与描述性指令相比,通过率显著降低。 AI

影响 该基准突显了当前AI代理在实际文档编辑任务中的关键能力差距。

排序理由 该项目是一篇介绍用于评估AI代理的新基准的研究论文。[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代理在推断文档编辑方面存在困难

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该项目是一篇介绍用于评估AI代理的新基准的研究论文。[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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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) · Jiayu Ding, Yupan Huang, Jinyoung Park, Yilin Jia, Wenshan Wu, Tengchao Lv, Shaohan Huang, Yuzhong Zhao, Xiangyang Zhou, Tao Ge, Sun Mao, Xun Wang, Huitian Jiao, Si-Qing Chen, Lei Cui, Nanning Zheng, Furu Wei ·

    WordInferBench:代理能否从Word文档上下文中推断出编辑方法?

    arXiv:2611.15189v1 Announce Type: new Abstract: Document editing is among the most common knowledge-work tasks, yet existing benchmarks for evaluating autonomous agents on Word document editing provide fully specified attribute-modification instructions. They do not evaluate agen…