English(EN) From Triage to Impact: A Multi-Hop Reasoning Benchmark for Explainable Persian Hate Speech

发布新的可解释波斯语仇恨言论分析基准

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员开发了一个新的基准，用于分析波斯语中的仇恨言论，这是一种在此类任务资源有限的语言。该基准包括对内容初步筛选、目标识别、仇恨策略和严重性评估的细粒度分析。对大型语言模型的评估表明，专有模型通常优于开放权重模型，并且纳入中间推理步骤可显著提高严重性预测。研究还发现，煽动暴力与更高的严重性密切相关，而政治目标则与颠覆性道德框架相关。 AI

影响该基准可以提高波斯语等低资源语言中仇恨言论检测的准确性和可解释性。

排序理由该项目描述了一个用于自然语言处理研究的新学术基准。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 该项目描述了一个用于自然语言处理研究的新学术基准。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

arXiv cs.CL TIER_1 English(EN) · Ghazal Kalhor, Sima Kamandloo, Mehrsa Shamsian, Behnam Bahrak · 2026-10-15 04:00

从初步诊断到产生影响：一个用于可解释波斯语仇恨言论的多跳推理基准

arXiv:2610.20370v1 Announce Type: new Abstract: Hate speech has become increasingly prevalent on social media, raising concerns about its detection, interpretation, and moderation. Persian, a relatively low-resource language, lacks sufficient annotated data and computational reso…

本文如何被排名

报道来源 [1]

从初步诊断到产生影响：一个用于可解释波斯语仇恨言论的多跳推理基准

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