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English(EN) PAYWORTHY: Can LLMs Predict Which Freelance Jobs an AI Agent Will Complete?

大型语言模型可以预测AI代理工作的成功率,但存在特定限制

研究人员开发了一个名为PAYWORTHY的新基准,用于评估大型语言模型(LLMs)能否预测AI代理在自由职业工作中的成功率。该基准包含1,494个真实的自由职业职位发布,LLMs的任务是预测代理成功的可能性。当提供代理的具体限制时,大多数模型表现出强大的预测能力,AUC得分在0.66到0.86之间。然而,当被描述为拥有标准工具的通用代理时,这些模型表现与随机猜测无异。 AI

影响 这项研究强调了特定代理能力对于成功完成任务的重要性,并表明大型语言模型可以被训练来评估这些能力。

排序理由 该集群描述了一篇介绍LLM评估基准的新学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

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

大型语言模型可以预测AI代理工作的成功率,但存在特定限制

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该集群描述了一篇介绍LLM评估基准的新学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    PAYWORTHY:大型语言模型能否预测AI代理将完成哪些自由职业工作?

    Before an AI agent takes on a paid job, someone has to judge whether it is likely to succeed. We test whether frontier language models can make this call before any attempt. We propose PAYWORTHY which contains 1{,}494 real freelance job postings, sampled from 18.8M postings made …