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English(EN) Contextualising (Im)plausible Events Triggers Figurative Language

大型语言模型难以区分合理与比喻性语言,而人类则能做到

一项新的研究论文探讨了事件合理性与比喻性语言使用之间的关系。该研究设计了包含合理和不合理事件三元组的实验,分析了人类和大型语言模型的判断。研究结果表明,人类擅长细致地识别和情境化非字面或不合理事件,而大型语言模型则表现出较浅的情境化能力,并倾向于偏好不合理的解释。 AI

影响 这项研究突显了当前大型语言模型在理解细微语言和事件合理性方面的局限性。

排序理由 这是一篇发表在arXiv上的研究论文,详细介绍了实验结果。[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 →

大型语言模型难以区分合理与比喻性语言,而人类则能做到

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Tool
这是一篇发表在arXiv上的研究论文,详细介绍了实验结果。[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) · Annerose Eichel, Tonmoy Rakshit, Sabine Schulte im Walde ·

    情境化(不)可能事件触发比喻性语言

    arXiv:2604.07885v2 Announce Type: replace Abstract: This work explores the connection between (non-)literalness and plausibility at the example of subject-verb-object events in English. We design a systematic setup of plausible and implausible event triples in combination with ab…