AI RESEARCH
MoE Lens -- An Expert Is All You Need
arXiv CS.LG
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ArXi:2603.05806v1 Announce Type: new Mixture of Experts (MoE) models enable parameter-efficient scaling through sparse expert activations, yet optimizing their inference and memory costs remains challenging due to limited understanding of their specialization behavior. We present a systematic analysis of expert specialization in MoEs through two complementary approaches: domain-specific routing patterns and an early decoding framework that tracks expert contributions to output representations.