STAF-LLM: A scalable and task-adaptive fine-tuning framework for large language models in medical domain

This publication has 16 references indexed in Scilit:

• The shaky foundations of large language models and foundation models for electronic health records
  npj Digital Medicine, 2023
• Large language models encode clinical knowledge
  Nature, 2023
• Parameter-efficient fine-tuning of large-scale pre-trained language models
  Nature Machine Intelligence, 2023
• A large language model for electronic health records
  npj Digital Medicine, 2022
• BioBERT: a pre-trained biomedical language representation model for biomedical text mining
  Bioinformatics, 2019
• MIMIC-III, a freely accessible critical care database
  Scientific Data, 2016
• Predicting 30-day all-cause hospital readmissions
  Health Care Management Science, 2013
• Mixture of experts: a literature survey
  Artificial Intelligence Review, 2012
• Mining electronic health records: towards better research applications and clinical care
  Nature Reviews Genetics, 2012
• The Unified Medical Language System (UMLS): integrating biomedical terminology
  Nucleic Acids Research, 2004