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English(EN) Outdated numeric values from Norwegian statutes and regulations in a further-trained model and its base model: a preregistered paired comparison of Borealis 2 and Gemma 4

Borealis 2 和 Gemma 4 在过时法律数据方面无显著差异

一项预注册研究比较了两种语言模型 Borealis 2 和 Gemma 4 在提供挪威法规和规章中数值方面的准确性。研究发现,两种模型在提供过时信息的频率方面没有显著差异。尽管 Borealis 2 是在 Gemma 4 的基础上进一步训练的,但研究得出结论,过时数值的差异在统计学上不显著。 AI

影响 这项研究表明,当前的语言模型在处理专业法律数据集的事实准确性方面可能存在困难,这表明需要改进 AI 训练中的数据时效性和验证。

排序理由 学术论文,比较了两种已发布的语言模型在特定基准上的表现。[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 →

Borealis 2 和 Gemma 4 在过时法律数据方面无显著差异

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学术论文,比较了两种已发布的语言模型在特定基准上的表现。[lever_c_demoted from research: ic=1 ai=1.0]
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Topics
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Eirik Botten Nicolaysen ·

    在进一步训练的模型及其基础模型中过时的挪威法规和规章中的数字值:对 Borealis 2 和 Gemma 4 的预注册配对比较

    arXiv:2611.02334v2 Announce Type: new Abstract: We compare how often two released language models give outdated numeric values from Norwegian statutes and regulations: NbAiLab/borealis2-26b-a4b-preview (Borealis 2), which the National Library of Norway further trained from google…