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Yikuan Xia

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More Expressive Feedforward Layers: Part I. Token-Adaptive Mixing of Activations

This work proposes Mixture of Activations (MoA), a token-adaptive FFN design that mixes a dictionary of activation functions using lightweight input-dependent gates while sharing the same linear projections, suggesting that token-adaptive activation mixing is a simple and effective mechanism for improving FFN expressiv...

Mingze Wang, Jinbo Wang, Yikuan Xia et al. · 3 citations

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