Publications by authors named "Dixizi Liu"
Article Synopsis
- Generative large language models (LLMs) have the potential to transform medical education by creating customized learning resources and enhancing engagement, yet their use in healthcare for small datasets needs further exploration.
- This study investigates open-source LLMs like LLaMA and Alpaca to augment data for classifying hospital staff survey responses regarding adaptations during COVID-19.
- The best results were achieved using LLaMA 7B combined with a specific classifier, demonstrating that open-source LLMs can significantly improve text classification performance, which could enhance medical education and patient care.
Deep Neural Networks (DNN) form a powerful deep learning model that can process unprecedented volumes of data. The hyperparameters of DNN have a significant influence on its prediction performance. Evolutionary algorithms (EAs) form a heuristic-based approach that provides an opportunity to optimize deep learning models to obtain good performance.
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