Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52095, first published .
Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study

Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study

Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study

Zoltan P Majdik   1 , PhD ;   S Scott Graham   2 , PhD ;   Jade C Shiva Edward   2 , MA ;   Sabrina N Rodriguez   3 , BS ;   Martha S Karnes   4 , PhD ;   Jared T Jensen   2 , MA ;   Joshua B Barbour   5 , PhD ;   Justin F Rousseau   6, 7 , MD, MMSc

1 Department of Communication, North Dakota State University, Fargo, ND, United States

2 Department of Rhetoric & Writing, The University of Texas at Austin, Austin, TX, United States

3 Department of Neurology, The Dell Medical School, The University of Texas at Austin, Austin, TX, United States

4 Department of Rhetoric & Writing, University of Arkansas Little Rock, Little Rock, AR, United States

5 Department of Communication, The University of Illinois at Urbana-Champaign, Urbana, IL, United States

6 Statistical Planning and Analysis Section, Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, United States

7 Peter O’Donnell Jr. Brain Institute, The University of Texas Southwestern Medical Center, Dallas, TX, United States

Corresponding Author:

  • S Scott Graham, PhD
  • Department of Rhetoric & Writing
  • The University of Texas at Austin
  • Parlin Hall 29
  • Mail Code: B5500
  • Austin, TX, 78712
  • United States
  • Phone: 1 512-475-9507
  • Email: ssg@utexas.edu