---
title: "Who cites Skywork-MoE: A Deep Dive into — 17 citing papers"
description: "17 papers of the Elamur Research library cite «Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language…"
canonical: "https://research.elamur.ai/free/en/papers/wei-2024-skywork-moe-deep-dive/cited-by/"
---
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# Who cites «Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models»

17 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models»](https://md.research.elamur.ai/free/en/papers/wei-2024-skywork-moe-deep-dive/)

1. [**Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes On arXiv:2407.08348**Liang Zeng, Liangjun Zhong, Liang Zhao, et al.*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2024-skywork-math-data-scaling-laws/)
2. [**Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs arXiv:2505.04519**Yehui Tang, Yichun Yin, Yaoyuan Wang, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/tang-2025-pangu-ultra-moe-train/)
3. [**GRIN: GRadient-INformed MoE arXiv:2409.12136**Liyuan Liu, Young Jin Kim, Shuohang Wang, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-grin-gradient-informed-moe/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/wei-2024-skywork-moe-deep-dive/) — Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models