AI RESEARCH
Evaluating Large Language Models' Responses to Sexual and Reproductive Health Queries in Nepali
arXiv CS.CL
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ArXi:2603.22291v1 Announce Type: new As Large Language Models (LLMs) become integrated into daily life, they are increasingly used for personal queries, including Sexual and Reproductive Health (SRH), allowing users to chat anonymously without fear of judgment. However, current evaluation methods primarily focus on accuracy, often for objective queries in high-resource languages, and lack criteria to assess usability and safety, especially for low-resource languages and culturally sensitive domains like SRH. This paper