Preprint
Aug 2026
UniMoMo: Expert Merging-Based MoE Acceleration for Large Recommendation Models
Sparse mixture-of-experts (MoE) layers expand recommendation capacity through conditional computation, yet a trained checkpoint still stores and routes over its full expert bank. We study a deployment problem: convert that checkpoint to a smaller standard MoE under an explicit expert budget, without adding a compressio...
Lei Xin, Bin Gu, Peize Li et al.
· 3 citations