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Safer in Translation? Presupposition Robustness in Indic Languages

arXiv — cs.CL•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
A recent study highlights the growing reliance on large language models (LLMs) for healthcare advice, emphasizing the need to evaluate their effectiveness across different languages. While existing benchmarks primarily focus on English, this research aims to bridge the gap by exploring the robustness of LLMs in Indic languages. This is significant as it could enhance the accessibility and accuracy of healthcare information for non-English speakers, ultimately improving health outcomes in diverse populations.
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