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English(EN) LURE: a Phase-Labelled Synthetic Corpus of Online-Grooming Exchanges

新的合成语料库LURE有助于在线诱骗检测

研究人员开发了LURE,这是一个在线诱骗交流的合成语料库,旨在帮助研究和检测儿童剥削。LURE使用检索增强管道和八十亿参数语言模型生成,包含2,121个交流,分为七个标签和四个阶段,每个阶段都用Plutchik情绪进行了注释。该语料库旨在通过提供阶段注释的对话数据来开发早期预警工具,克服现有数据集的局限性,验证显示标签和阶段识别准确率很高。 AI

影响 该语料库可以实现更好的人工智能驱动的在线诱骗检测,加强儿童安全措施。

排序理由 该项目是一篇研究论文,详细介绍了一个用于人工智能安全研究的新合成语料库。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的合成语料库LURE有助于在线诱骗检测

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该项目是一篇研究论文,详细介绍了一个用于人工智能安全研究的新合成语料库。[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) · Emanuele Florindi, Valentina Franzoni, Ludovico Guercio, Alfredo Milani, Mattia Polticchia ·

    LURE:在线诱骗交流的阶段标注合成语料库

    arXiv:2610.15908v1 Announce Type: new Abstract: Phase-annotated conversational data is essential for studying the progression of online grooming of minors and for developing early warning tools. However, the only publicly available source (i.e., Perverted-Justice archive, which c…