Jiaming Pan
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126
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2026
ConMoE: Expert-Pool Consolidation via Prototype Reassignment for MoE Compression
ConMoE proposes a train-free method for compressing Mixture-of-Experts (MoE) models by consolidating the large expert pool into a smaller set of reusable prototypes and deterministically remapping all original expert calls to these prototypes.
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Papers
cs.AIRecentMay 28, 2026
ConMoE: Expert-Pool Consolidation via Prototype Reassignment for MoE Compression
Yilun Yao, Jiaming Pan, Elsie Dai, Peizhuang Cong +2 more
ConMoE proposes a train-free method for compressing Mixture-of-Experts (MoE) models by consolidating the large expert pool into a smaller set of reusable prototypes and deterministically remapping all…
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