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English(EN) BanglaBBQ: A Bias Benchmark for Question Answering in the Bangladeshi Context

新的BanglaBBQ基准揭示了孟加拉国背景下大型语言模型中的偏见

研究人员推出了BanglaBBQ,这是一个旨在评估孟加拉国背景下问答模型偏见的新基准。该基准改编了现有模板,并引入了反映孟加拉国常见社会刻板印象的新类别,例如婚姻状况、年龄和地区出身。使用Qwen3、GPT-4.1 mini和Gemini 2.5 Flash等模型进行的评估显示,这些模型表现出偏见行为,尤其是在语境模糊或与刻板印象相悖时,语言差异会影响模型性能。 AI

影响 该基准将帮助研究人员识别和减轻大型语言模型中的文化偏见,提高其在不同语言环境中的公平性和可靠性。

排序理由 该集群是关于一篇介绍人工智能安全研究基准的新学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 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BanglaBBQ基准揭示了孟加拉国背景下大型语言模型中的偏见

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该集群是关于一篇介绍人工智能安全研究基准的新学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Topics
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Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Sumit Anthony Gomes, Yasin Rahman, Taeeba Tasnia, Faiza Nooren Suhita ·

    BanglaBBQ:孟加拉国背景下的问答偏见基准

    arXiv:2610.24764v2 Announce Type: replace Abstract: This paper presents BanglaBBQ, a question-answering bias benchmark designed to capture stereotypes grounded in the Bangladeshi context, in both Bangla and English. Following KoBBQ and PakBBQ, BanglaBBQ adapts the original Bias B…