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RESEARCH29

Shared expert pool reduces parameters while maintaining performance

DEV.to AIΒ·May 15, 2026

Conventional Mixture-of-Experts designs increase parameters linearly with depth by assigning private expert sets to each transformer layer. A new approach, UniPool, replaces this with a single, globally shared pool of experts that all routers draw from, significantly reducing the total expert parameter count while maintaining comparable predictive quality.

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