Author

Xu-Yang Zhao

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Preprint Aug 2026

UniMoMo: Expert Merging-Based MoE Acceleration for Large Recommendation Models

UniMoMo, a post-training compression framework formulated as a constrained graph coarsening problem, is introduced, and a layer-adaptive protection mechanism that restricts the merging of high-traffic experts based on their routing exposure is introduced.

Lei Xin, Bin Gu, Peize Li et al. · 3 citations