---
title: "Chong Ruan — papers of 2025 — 4 papers, the most cited first"
description: "Chong Ruan — papers of 2025: 4 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Chong Ruan — papers of 2025 — 4 papers, the most cited first

4 papers · [all years of Chong Ruan](https://md.research.elamur.ai/free/en/authors/chong-ruan/#years)

- [Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention arXiv:2502.11089](https://md.research.elamur.ai/free/en/papers/yuan-2025-native-sparse-attention-hardware/) — Jingyang Yuan, Huazuo Gao, Damai Dai, et al. · 2025 · 142 citations
- [Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling arXiv:2501.17811](https://md.research.elamur.ai/free/en/papers/chen-2025-janus-pro-unified-multimodal/) — Xiaokang Chen, Zhiyu Wu, Xingchao Liu, et al. · 2025 · 112 citations

**[Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures](https://md.research.elamur.ai/free/en/papers/zhao-2025-insights-deepseek-v3-scaling/) [Proceedings - International Symposium on Computer Architecture/Proceedings](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-computer-architecture-proceedings/)**Chenggang Zhao, Chengqi Deng, Chong Ruan, et al.*2025 · 74 citations*

- [Inference-Time Scaling for Generalist Reward Modeling arXiv:2504.02495](https://md.research.elamur.ai/free/en/papers/liu-2025-inference-time-scaling-generalist/) — Zijun Liu, Peiyi Wang, Runxin Xu, et al. · 2025 · 65 citations