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English(EN) MBABench-2.0: Evaluating AI Agents on Constructing Financial Spreadsheets Beyond Simple Verifiability

新基准揭示AI代理在构建复杂金融电子表格方面存在困难

一项名为MBABench-2.0的新基准已被推出,用于评估AI代理从头开始构建金融电子表格的能力。该基准包含101项任务,其中最复杂的任务估计需要经验丰富的人工建模师花费30多小时。与更简单的基准不同,MBABench-2.0根据12个类别中的129个标准评估电子表格,侧重于可读性和可维护性等质量方面,而不仅仅是准确性。对8个模型中超过20个代理进行的初步评估显示,当前AI能力存在显著差距,表现最好的代理仅达到16%的通过率。 AI

影响 凸显了AI代理在复杂知识工作能力方面存在的关键差距,表明当前模型尚未准备好进行复杂的金融建模任务。

排序理由 该项目描述了一个用于评估AI代理的新学术基准。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新基准揭示AI代理在构建复杂金融电子表格方面存在困难

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该项目描述了一个用于评估AI代理的新学术基准。[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) · Julian Poeltl, Thomson Yen, Patrick Shea, Shubham Anil Varma, Dhruv Rastogi, Zihao Chen, Mengshi Zhang, Hongseok Namkoong ·

    MBABench-2.0:评估AI代理构建超越简单可验证性的金融电子表格的能力

    arXiv:2610.31711v1 Announce Type: cross Abstract: Spreadsheets are the lingua franca of modern finance, driving valuation, forecast, audit, and many other core workflows of the industry. As LLM agents advance to automate knowledge work, spreadsheet construction is a natural and p…