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How to Loop MoE: Flatten the Experts, Untie the Attention

Wang, Shouren et al.
arXiv (All) · Papers
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computation-and-language
Looped Transformers reuse one block of layers several times: by spending extra computation they push a model of fixed size further, and so use its parameters more fully; while sparse mixture-of-experts (MoE) models activate only a few of many experts for each token. Looped MoE bridges these two desi
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