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English(EN) Explanation Generation for Contradiction Reconciliation with LLMs

研究发现:大语言模型在协调矛盾陈述方面存在困难

研究人员推出了一项新任务,专注于生成协调矛盾陈述的解释,这是人类推理的关键能力,但在当前大语言模型中尚未充分发展。他们重新利用了现有的自然语言推理数据集,并开发了新的评估指标来评估这项能力。对18个大语言模型的实验显示,成功有限,随着模型规模的增加,性能提升趋于平缓,这表明大语言模型的推理能力存在显著差距。 AI

排序理由 这是一篇研究论文,详细介绍了一项新任务和大语言模型的评估。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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研究发现:大语言模型在协调矛盾陈述方面存在困难

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这是一篇研究论文,详细介绍了一项新任务和大语言模型的评估。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Jason Chan, Zhixue Zhao, Robert Gaizauskas ·

    使用大型语言模型进行矛盾协调的解释生成

    arXiv:2603.22735v2 Announce Type: replace Abstract: Existing NLP work commonly treats contradictions as errors to be resolved by choosing which statements to accept or discard. Yet a key aspect of human reasoning in social interactions and professional domains is the ability to h…