---
title: "Who cites Pangu Ultra: Pushing the Limits of — 6 citing papers"
description: "6 papers of the Elamur Research library cite «Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/yin-2025-pangu-ultra-pushing-limits/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Pangu Ultra: Pushing the Limits of Dense Large…](https://md.research.elamur.ai/free/en/papers/yin-2025-pangu-ultra-pushing-limits/) / cited by

# Who cites «Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs»

6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs»](https://md.research.elamur.ai/free/en/papers/yin-2025-pangu-ultra-pushing-limits/)

1. [**Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition arXiv:2505.22375**Hanting Chen, Yasheng Wang, Kai Han, et al.*2025 · 13 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-pangu-embedded-efficient-dual/)
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. **[Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/rao-2026-dynamic-sampling-that-adapts-self/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jun Rao, Xuebo Liu, Hexuan Deng, et al.*2026 · 4 citations*
4. [**Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity arXiv:2505.21411**Yehui Tang, Xiaosong Li, Fangcheng Liu, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/tang-2025-pangu-pro-moe-mixture/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/yin-2025-pangu-ultra-pushing-limits/) — Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs