PCoMoE: Shifting MoE Inference from Monolithic Expert Selection to Fine-Grained Path Composition

Ziyan Gan, Fangxin Liu, Chenyang Guan +10

Mixture-of-Experts (MoE) architectures scale Large Language Model (LLM) capacity efficiently by activating a sparse subset of experts per token. However, modern MoE inference remai…