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Updated: Feb 5, 2026

Title Cell Encapsulation by Droplets
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系统性审查中标题和摘要选的紧的大型语言模型:可行性,准确性和工作量减少的评估

Antonio Sciurti1, Giuseppe Migliara2, Leonardo Maria Siena1

  • 1Department of Public Health and Infectious Diseases, University of Rome La Sapienza, Italy.

Research synthesis methods
|February 4, 2026
PubMed
概括

紧的大型语言模型 (LLM) 对系统审查选具有很高的灵敏度,大大降低了工作量. 虽然不精确,但它们为标题和摘要审查提供了可行的,具有成本效益的解决方案.

关键词:
在GPT-4o迷你迷你.杰玛2 9B的第一个.拉玛 3.1 8B 拉玛 3.1 8B 拉玛 拉玛 3.1 8B 拉玛 拉玛人工智能的人工智能是人工智能.大型语言模型.标题和摘要选选

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