A unified view of Attention-MoE and FFN-MoE
A paper published on September 24, 2025 proposes treating pre-mixed tokens and (V·Wo) as an FFN expert, unifying sparse attention and FFN approaches.
Source: Uma visão unificada de Attention-MoE e FFN-MoE (x.com). Text prepared with AI from this source.
What happened and what to do
Published on September 24, 2025, the paper proposes treating pre-mixed tokens and (V·Wo) as an FFN expert. With shared experts, the approach unifies Attention-MoE and FFN-MoE; according to the paper, it reduces perplexity at similar compute. The proposal may help engineers compare sparse attention and FFN designs.
A company assessing model architectures could implement comparative tests using quality and compute-consumption metrics, while recording configurations and results in an evaluation pipeline. This provides evidence to determine whether the approach fits its models and infrastructure constraints.
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