arXiv 2610.27598 · cs.AI · 2026-10-20
Meta Expert: Cross-Layer Expert Sharing for Storage- and Retrieval-Efficient MoE
Ermo Hua, Xiangyu Hong, Baiting Wu, Che Jiang, Haozheng Hou, Yicheng Gu, Hanjing Wang, Qirui Zeng 等 14 人
TsinghuaC3I
在最新榜 #298 本站收录于 2026-10-24
一句话要点
清华 C3I 研究 MoE 的跨层专家共享：主流 MoE 各层专家拓扑独立但内容高度相似冗余，论文对比“每层独立专家”和“跨层共享的 Meta Expert”，从多个维度实测共享方案在存储和检索效率上的潜力。
Tsinghua C3I studies cross-layer expert sharing in MoE: since experts in different layers are topologically independent yet highly redundant, it empirically compares per-layer Local Experts with inter-layer shared Meta Experts across multiple dimensions for storage and retrieval efficiency.
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主题与学科
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数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-26。
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