Biomedical Article

Research on biomedical article processing focuses on improving access to and understanding of scientific literature. Current efforts concentrate on automatically generating lay summaries using large language models (LLMs) and enhancing information retrieval through contrastive pre-training and techniques leveraging argumentative elements within abstracts. These advancements aim to accelerate scientific discovery and improve clinical decision-making by making biomedical information more accessible and readily analyzable. The development of robust and accurate classification methods for biomedical articles, including predicting citation impact, further contributes to efficient knowledge management within the field.