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English(EN) Do Language Models Reason Across Languages?

新论文发现语言模型在多语言推理方面存在困难

一篇新的研究论文探讨了语言模型在不同语言中的推理能力。研究发现,模型在多语言推理方面存在困难,常常无法将复杂问题分解为逻辑步骤。这种缺乏忠实的逐步推理会导致在回答两跳问题时出现组合失败。为了解决这个问题,研究人员提出了一种SUBQ提示方法,通过子问题引导多步推理,显著提高了准确性。 AI

影响 强调了当前语言模型在多语言任务中的局限性,并提出了一种改进推理的方法。

排序理由 一篇在arXiv上发表的研究论文,详细介绍了关于语言模型推理的发现。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新论文发现语言模型在多语言推理方面存在困难

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一篇在arXiv上发表的研究论文,详细介绍了关于语言模型推理的发现。[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) · Yan Meng, Wafaa Mohammed, Christof Monz ·

    语言模型能否跨语言推理?

    arXiv:2601.06644v2 Announce Type: replace-cross Abstract: The real-world information sources are inherently multilingual, which naturally raises a question about whether language models can synthesize information across languages. In this paper, we introduce a simple two-hop ques…