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一个全面的系统审查数据集是培训和评估AI系统的丰富资源,用于标题和摘要选

Gary C K Chan1,2, Estrid He1, Janni Leung2

  • 1School of Computing Technologies, RMIT University, Melbourne, VIC, Australia.

Research synthesis methods
|February 2, 2026
PubMed
概括

研究人员从超过8600次系统审查中开发了大型数据集,以训练语言模型进行标题和摘要选. 这提高了健康研究中的自动查准确度.

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