研究人员开发了一个名为IARE的新框架，以提高检测仇恨视频的AI模型的可解释性。该框架旨在提供上下文理由和逻辑推理以及检测决策，超越简单的二元分类。IARE利用多模态思维链和直接偏好优化来增强有害元素的整合和理由的连贯性。在两个新数据集Ex-HateMM和Ex-ImpliHateVid上的实验表明，IARE在检测准确性和理由生成方面均达到了最先进的性能。 AI
影响 提高了AI在内容审核中解释决策的能力，可能带来更值得信赖和透明的系统。
排序理由 该集群包含一篇学术论文，详细介绍了针对特定研究问题的新AI框架和数据集。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2606.11953v1 Announce Type: new Abstract: Hateful videos have become prevalent on online platforms, highlighting an urgent need for effective detection. However, existing studies primarily focus on binary classification and fail to provide contextual rationales that reveal …
Hateful videos have become prevalent on online platforms, highlighting an urgent need for effective detection. However, existing studies primarily focus on binary classification and fail to provide contextual rationales that reveal the implicit meanings behind these judgments, si…