---
title: "Runxin Xu — papers of 2024 — 6 papers, the most cited first"
description: "Runxin Xu — papers of 2024: 6 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Runxin Xu — papers of 2024 — 6 papers, the most cited first

6 papers · [all years of Runxin Xu](https://md.research.elamur.ai/free/en/authors/runxin-xu/#years)

- [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models arXiv:2402.03300](https://md.research.elamur.ai/free/en/papers/shao-2024-deepseekmath-pushing-limits-mathematical-reasoning/) — Zhihong Shao, Peiyi Wang, Qihao Zhu, et al. · 2024 · 2,115 citations

**[Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations](https://md.research.elamur.ai/free/en/papers/wang-2024-math-shepherd-verify-reinforce-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peiyi Wang, Lei Li, Zhihong Shao, et al.*2024 · 497 citations*

- [DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence arXiv:2406.11931](https://md.research.elamur.ai/free/en/papers/deepseek-ai-2024-deepseek-coder-v2-breaking-barrier/) — DeepSeek-AI, Qihao Zhu, Daya Guo, et al. · 2024 · 196 citations
- [Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models arXiv:2410.07985](https://md.research.elamur.ai/free/en/papers/gao-2024-omni-math-universal-olympiad-level/) — Bofei Gao, Feifan Song, Zhe Yang, et al. · 2024 · 163 citations

**[Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-multimodal-arxiv-dataset-improving-scientific/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lei Li, Yuqi Wang, Runxin Xu, et al.*2024 · 129 citations*

**[Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2024-let-expert-stick-his/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zihan Wang, Deli Chen, Damai Dai, et al.*2024 · 17 citations*