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Updated: Mar 11, 2026

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
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Published on: June 10, 2021

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文学选的交互式主动学习:微调GPT与DeepSeek的推理,以实现跨领域的概括

Yiming Li1,2, Joseph M Plasek1,2, Xinsong Du1,2

  • 1Department of Medicine, Harvard Medical School, Boston, MA 02115, United States.

Journal of the American Medical Informatics Association : JAMIA
|March 9, 2026
PubMed
概括

本研究介绍了一种主动学习框架,该框架利用大型语言模型 (LLM) 之间的分歧来改善生物医学文献选. 使用这种方法微调的GPT模型显著提高了性能,特别是在像GPT-4o-mini.等更轻的模型中.

关键词:
在DeepSeek搜索中深入搜索.积极学习是积极学习.产生预训练变压器 (GPT)文学选 文学选推理 推理 推理监督学习学习监督学习

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