Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting

• Published in: arXiv.org
• Main Authors: Zhang, Xinlu, Li, Shiyang, Yang, Xianjun, Tian, Chenxin, Yao Qin, Petzold, Linda Ruth
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 16.05.2024
• Subjects: Context; Decision making; Harnesses; Large language models; Privacy

Large language models (LLMs) demonstrate remarkable medical expertise, but data privacy concerns impede their direct use in healthcare environments. Although offering improved data privacy protection, domain-specific small language models (SLMs) often underperform LLMs, emphasizing the need for meth...