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在MoE预训练中，原本期望这些专家“各司其职”，最后发现他们竟然“同质化”了？学术界将这种现象称为 “专家同质化” （Expert Homogenization） 。这直接导致了MoE模型参数的浪费和Scaling能力的封顶。