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作者：当前用户检测日期：2026-09-26

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综合评估： 文本为学术论文引言节选，语言规范但缺乏引用与数据支撑，AI生成痕迹中等，结构不完整，综合风险偏低。

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Deep Learning for Natural Language Processing — Smith et al. (2023)

...transformer architecture has revolutionized NLP...

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Attention Mechanisms in Neural Networks — Zhang & Li (2022)

...self-attention mechanisms allow the model to weigh importance...

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Smith, J. et al. (2023). 'Deep Learning for NLP'. Journal of AI Research, 45(2), 123-145.

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Zhang, L. & Li, W. (2022). 'Attention Mechanisms in Neural Networks'. IEEE Trans., 18(4), 67-89.

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