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NeurIPS25:清华北大LinearDiff-ViT,Transformer“找不同”线性提速,性能飞跃
VCA 的成功,不仅在于其技术上的创新,更在于其对 Transformer 架构计算瓶颈的有效解决。它提醒我们,注意力机制不一定非得是“相似性”的度量,也可以是“差异性”的发现者。你认为这种“找不同”的思路,未来会在哪些 AI 领域发挥更大的作用?
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