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FAID：面向隐式仇恨言论的细粒度自适应检测框架
原标题：Sledgehammer or Scalpel? A Fine-grained Adaptive Framework for Implicit Hate Speech
AI 摘要
本文提出了一种名为FAID的细粒度自适应隐式仇恨言论检测框架，将隐式仇恨言论分为浅层、定向和上下文依赖三类，并针对不同类别采用轻量级提示调优、知识增强和智能体推理等不同策略。实验表明，FAID在四个基准数据集上显著优于现有最先进方法，同时减少了计算冗余。
以上摘要由 AI 生成，可能存在误差。事实请以原文为准。
正文节选
Sledgehammer or Scalpel? A Fine-grained Adaptive Framework for Implicit Hate Speech Abstract Unlike explicit attacks with obvious profanity, implicit hate speech hides malice within seemingly compliant expressions through metaphors and contextual hints, making its detection in online content review challenging. While existing PLM- or LLM-based methods perform well, they typically apply a single reasoning process to all samples. This overlooks fine-grained linguistic nuances and causes unnecessar
发布时间：2026-08-31 12:00
抓取时间：2026-08-31 12:04
来源机构：arXiv