AINeutralarXiv – CS AI · 10h ago6/10
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Gated MLPs as Symmetry-Broken Rank-1 Bilinear Attention
Researchers demonstrate that gated MLPs can be mathematically understood as rank-1 approximations to bilinear attention mechanisms, with nonlinearity placement breaking symmetry properties. This theoretical framework provides new insight into why gated MLPs perform effectively in practice and offers guidance for designing improved neural network architectures.