---
title: "Who cites MoEfication: Transformer — 67 citing papers"
description: "67 papers of the Elamur Research library cite «MoEfication: Transformer Feed-forward Layers are Mixtures of Experts», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/zhang-2022-moefication-transformer-feed-forward-layers/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [MoEfication: Transformer Feed-forward Layers are…](https://md.research.elamur.ai/free/en/papers/zhang-2022-moefication-transformer-feed-forward-layers/) / cited by

# 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»](https://md.research.elamur.ai/free/en/papers/zhang-2022-moefication-transformer-feed-forward-layers/)

1. [**Challenges and Applications of Large Language Models arXiv:2307.10169**Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.*2023 · 300 citations*](https://md.research.elamur.ai/free/en/papers/kaddour-2023-challenges-applications-large-language-models/)
2. **[LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training](https://md.research.elamur.ai/free/en/papers/zhu-2024-llama-moe-building-mixture-experts/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tong Zhu, Xiaoye Qu, Daize Dong, et al.*2024 · 85 citations*
3. **[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)](https://md.research.elamur.ai/free/en/papers/shi-2025-system-optimization-mixture/) [Journal of Computer Research and Development](https://md.research.elamur.ai/free/en/venues/journal-of-computer-research-and-development/)**Hongzhi 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.

- [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2022-moefication-transformer-feed-forward-layers/) — MoEfication: Transformer Feed-forward Layers are Mixtures of Experts