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English(EN) CulturalCrosswords: A Multilingual Benchmark of Answer Constraints and Grid Completion

新的基准测试在多语言填字游戏和答案约束方面测试LLM

研究人员开发了CulturalCrosswords,这是一个新的多语言基准测试,旨在评估大型语言模型如何处理答案约束和网格填充。该基准测试使用了来自42种语言的众包填字游戏,重点关注可能存在多个答案的文化谜语。研究发现,提供答案长度可以显著提高模型与参考答案的一致性,并且要求完成整个网格可以揭示模型能力的巨大差异。 AI

影响 该基准测试可能带来更稳健的LLM评估,特别是在需要对文化背景和约束满足进行细致理解的任务方面。

排序理由 该项目是一篇研究论文,详细介绍了一个用于评估LLM的新基准测试。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新的基准测试在多语言填字游戏和答案约束方面测试LLM

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该项目是一篇研究论文,详细介绍了一个用于评估LLM的新基准测试。[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) · Isaac Saxton-Knight, Gabriel Saxton-Knight, Diego Oliveira, Tidor-Vlad Pricope, Aston Garratt, Jocelyn D'Arcy ·

    CulturalCrosswords:多语言答案约束与网格填充基准测试

    arXiv:2611.10044v2 Announce Type: replace-cross Abstract: When several answers fit a riddle, exact-match scoring can penalise a valid response. CulturalCrosswords tests how answer constraints affect large language models (LLMs) solving cultural riddles, whose solutions draw on kn…