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English(EN) SarcasTraps: Effect of Sarcasm on Turkish Hate Speech Detection

讽刺阻碍了大型语言模型和微调模型对土耳其仇恨言论的检测

一项新的研究论文介绍了 SarcasTraps,这是一个旨在评估讽刺如何影响土耳其仇恨言论检测的数据集。研究发现,讽刺显著挑战了 BERTurk 和 XLM-RoBERTa 等微调模型,以及 GPT-4.1 和 Llama 3.3 70B Instruct 等大型语言模型,导致在识别讽刺性仇恨言论时召回率或精确率降低。 AI

影响 凸显了人工智能在安全应用中理解讽刺等细微语言方面的挑战。

排序理由 介绍新数据集的研究论文,以及在该数据集上对模型的评估。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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讽刺阻碍了大型语言模型和微调模型对土耳其仇恨言论的检测

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介绍新数据集的研究论文,以及在该数据集上对模型的评估。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Niyazi Ahmet Metin, Dilara Kek\"ull\"uo\u{g}lu ·

    SarcasTraps:讽刺对土耳其仇恨言论检测的影响

    arXiv:2610.16957v1 Announce Type: cross Abstract: Standard hate speech detection datasets often emphasize explicit harmful language, but directed harm can also be expressed indirectly, without clearly hateful wording. Sarcasm is one such form of indirect expression, as it can con…