---
title: "Who cites Peng Cheng — 20 papers of our library"
description: "20 papers of the Elamur Research library cite the works of Peng Cheng, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/peng-cheng/cited-by/"
---
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# Who cites Peng Cheng

20 citations of their works from 20 papers of our library (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← Peng Cheng](https://md.research.elamur.ai/free/en/authors/peng-cheng/)

1. **[What is the Role of Small Models in the LLM Era: A Survey](https://md.research.elamur.ai/free/en/papers/chen-2024-role-small-models-llm-era/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Lihu Chen, Gael Varoquaux*2024 · 23 citations*
2. [**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/)
3. [**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/)
4. [**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/)

16 more citing papers of our library have no page here yet.

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