AI RESEARCH
IndicSafe: A Benchmark for Evaluating Multilingual LLM Safety in South Asia
arXiv CS.AI
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ArXi:2603.17915v2 Announce Type: replace-cross As large language models (LLMs) are deployed in multilingual settings, their safety behavior in culturally diverse, low-resource languages remains poorly understood. We present the first systematic evaluation of LLM safety across 12 Indic languages, spoken by over 1.2B people but underrepresented in LLM