Use of Retrieval-Augmented Large Language Model for COVID-19 Fact-Checking: Development and Usability Study

The integration of RAG systems with LLMs substantially improves the accuracy and contextual relevance of automated fact-checking. By reducing hallucinations and enhancing transparency by citing retrieved sources, this method holds significant promise for rapid, reliable information verification to combat misinformation during public health crises.