Enhancing Biomedical Language Models with Retrieval-Augmented Generation: The BiomedRAG Framework

The BiomedRAG framework effectively integrates retrieved chunk-based documents into large language models to enhance their performance across various biomedical NLP tasks, including information extraction, text classification, link prediction, and question answering.