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English(EN) DAYJOB: A Benchmark for Long-Horizon Professional Work

新的DAYJOB基准测试揭示AI在长时程专业任务上面临挑战

一项名为DAYJOB的新基准测试已被开发出来,用于评估AI代理在长时程专业任务中的表现,特别是在医疗保健和金融领域。该基准测试包含130项任务,每项任务平均需要人类专业人士花费13.6至16.6小时才能完成。即使是像Claude Opus 5.5这样先进的模型也表现不佳,仅能完成约24%的医疗保健和金融任务,这表明AI在复杂、多步骤的专业工作中面临重大挑战。研究人员发现,代理模型经常接受有缺陷的前提,并在其分析中传播错误。 AI

影响 凸显了当前AI在复杂、多步骤专业任务方面的显著局限性,表明需要改进推理和错误处理能力。

排序理由 该集群描述了一个用于AI评估的新基准测试,该测试发表在一篇arXiv论文中。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新的DAYJOB基准测试揭示AI在长时程专业任务上面临挑战

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该集群描述了一个用于AI评估的新基准测试,该测试发表在一篇arXiv论文中。[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) · Stephanie Finley, Liudas Panavas, Thomas Mikkelson, Cam Hinton, Stacey Ganss, Bradley Monton, Emily Kendall, Michelle Spradlin, Lydia Bye, Michael O'Brien, Lauren Ylvisaker, Derek Ray, Suhaas Garre, Sushant Mehta, Edwin Chen ·

    DAYJOB:一个用于长时程专业工作的基准测试

    arXiv:2610.01306v1 Announce Type: new Abstract: Professional work often starts with a brief request that leaves the professional to work out what is needed, which documents matter, and whether the request's premise holds. We introduce DAYJOB, a benchmark of 130 tasks built by pro…