Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64348, first published .
Token Probabilities to Mitigate Large Language Models Overconfidence in Answering Medical Questions: Quantitative Study

Token Probabilities to Mitigate Large Language Models Overconfidence in Answering Medical Questions: Quantitative Study

Token Probabilities to Mitigate Large Language Models Overconfidence in Answering Medical Questions: Quantitative Study

Raphaël Bentegeac   1, 2 * , MS, MD ;   Bastien Le Guellec   3, 4 * , MS, MD ;   Grégory Kuchcinski   3, 4 , MD, PhD ;   Philippe Amouyel   1, 2, 5 , MD, PhD ;   Aghiles Hamroun   1, 2, 5 , MD, PhD

1 Department of Public Health, Lille University, Lille University Hospital Center, Lille, France

2 Univ. Lille, Inserm, Centre Hosp. Univ Lille, Institut Pasteur de Lille, UMR1167—Labex DISTALZ—RID-AGE—Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France

3 Department of Neuroradiology, Lille University, Lille University Hospital Center, Lille, France

4 Univ. Lille, Inserm, CHU Lille, U1172—LilNCog—Lille Neuroscience & Cognition, Lille, France

5 Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41 - UAR 2014 - PLBS, Lille, France

*these authors contributed equally

Corresponding Author:

  • Aghiles Hamroun, MD, PhD
  • Department of Public Health
  • Lille University, Lille University Hospital Center
  • avenue du Professeur Emile Laine
  • Lille 59037
  • France
  • Email: aghiles.hamroun@univ-lille.fr