research
∙
08/27/2023
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
The ability of large language models (LLMs) to follow natural language i...
share
research
∙
05/04/2022
Language Models in the Loop: Incorporating Prompting into Weak Supervision
We propose a new strategy for applying large pre-trained language models...
research
∙
08/05/2020
Trove: Ontology-driven weak supervision for medical entity classification
Motivation: Recognizing named entities (NER) and their associated attrib...
research
∙
01/06/2020
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data
Widespread adoption of electronic health records (EHRs) has fueled devel...
research
∙
04/03/2019
