AI RESEARCH
SectEval: Evaluating the Latent Sectarian Preferences of Large Language Models
arXiv CS.CL
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ArXi:2603.12768v1 Announce Type: new As Large Language Models (LLMs) becomes a popular source for religious knowledge, it is important to know if it treats different groups fairly. This study is the first to measure how LLMs handle the differences between the two main sects of Islam: Sunni and Shia. We present a test called SectEval, available in both English and Hindi, consisting of 88 questions, to check the bias-ness of 15 top LLM models, both