🔗 Who cites «MoEfication: Transformer Feed-forward Layers are Mixtures of Experts»

67 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · ← back to «MoEfication: Transformer Feed-forward Layers are Mixtures of Experts»

1. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
   LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-TrainingConference on Empirical Methods in Natural Language Processing (EMNLP)Tong Zhu, Xiaoye Qu, Daize Dong, et al.2024 · 85 citations
   Survey on System Optimization for Mixture of Experts in the Era of Large Models (大模型时代的混合专家系统优化综述)Journal of Computer Research and DevelopmentHongzhi Shi (史宏志), Jian Zhao (赵健), Yaqian Zhao (赵雅倩), et al.2025

64 more papers of our library cite it; they have no page here yet.

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