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《Attention Is All You Need》是由 Vaswani 等人在 2017 年发表的一篇具有里程碑意义的论文,它提出了一种新的神经网络架构——Transformer。该论文的核心观点是,传统的循环神经网络(RNN)和长短期记忆网络(LSTM)在处理序列数据时存在计算瓶颈,而 Transformer 通过引入 自注意力机制(Self-Attention),能够在更高效的时间复杂度下处理序列数据。