Contextual Evaluation of Large Language Models for Classifying Tropical
and Infectious Diseases
Contextual Evaluation of Large Language Models for Classifying Tropical
and Infectious Diseases
While large language models (LLMs) have shown promise for medical question answering, there is limited work focused on tropical and infectious disease-specific exploration. We build on an opensource tropical and infectious diseases (TRINDs) dataset, expanding it to include demographic and semantic clinical and consumer augmentations yielding 11000+ prompts. We evaluate …