Large Language Models (LLM) - based methods for text processing and analysis in the biomedical literature – a scoping review

We aim at mapping the field of large language models in the context of processing and analysing biomedical text. Concretely,  1) Which tasks in the domain of Biomedical Natural Language Processing (BioNLP) are being tackled with LLMs? (e.g. Named Entity Recognition, Information Extraction, Text Classification) 2) Which LLMs architectures are used for those BioNLP tasks? (e.g. BERT, combination of Transformer models and other ML algorithms like BM25)

Project Lead

Benjamin Ineichen

CRS Collaborators

Simona Doneva

External Collaborators

Gerold Schneider, Tilia Ellendorff, Beate Sick

Publications