AI Research
Does Country Matter? Evaluating Geographic Sensitivity of Large Language Models in Zero-Shot Chronic Kidney Disease Screening
A study examines whether country context affects zero-shot LLM screening for chronic kidney disease.
Large language models (LLMs) show strong zero-shot reasoning capabilities, yet their sensitivity to prompt context raises questions about reliability in deployment.
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ArXiv CS.LG
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ArXiv CS.LG
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Geographic context may influence how an LLM reasons about chronic kidney disease screening, making it relevant to evaluate before clinical deployment. Testing this sensitivity can help clarify whether zero-shot performance is reliable across country-specific contexts.
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