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Improving Robustness of Large Language Models Used in Healthcare Through Prompt Engineering

Research output: Chapter or Contribution to BookLiterary contribution

Original languageEnglish
Title of host publicationProceedings - 2025 24th International Conference on Machine Learning and Applications, ICMLA 2025
EditorsM. Arif Wani, Taghi M. Khoshgoftaar, Huanjing Wang, Kehan Gao, Safak Kayikci
Pages1417-1422
Number of pages6
ISBN (Electronic)9798331559809
DOIs
StatePublished - 2025
Event24th International Conference on Machine Learning and Applications, ICMLA 2025 - Boca Raton, United States
Duration: Dec 3 2025Dec 5 2025

Publication series

NameProceedings - 2025 24th International Conference on Machine Learning and Applications, ICMLA 2025

Conference

Conference24th International Conference on Machine Learning and Applications, ICMLA 2025
Country/TerritoryUnited States
CityBoca Raton
Period12/3/2512/5/25

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Modeling and Simulation

Keywords

  • Healthcare Applications
  • Large Language Models
  • Prompt Engineering
  • Robustness

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