核心概念
Generative LLMs with P-tuning enhance SDoH extraction across domains.
統計
GatorTronGPT achieved the best F1 scores for both datasets, outperforming traditional fine-tuned GatorTron by 8.9% and 21.8% in a cross-institution setting, and by 5.5% and 14.5% in a cross-disease setting.
引用
"Transfer learning is a promising solution to improve the portability of NLP for cross-institution applications."
"Prompt-based learning algorithms have shown promising transfer learning capabilities."
"P-tuning of generative LLMs has better transfer learning ability for cross-institution and cross-disease applications."