🔗 Who cites «DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence»

144 papers of our library cite it (of the 140,884 whose bibliographies we read) · 14 with a page here, the most cited first · ← the paper

1. LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language ModelsYaowei Zheng, Richong Zhang, Junhao Zhang, et al.2024 · 1,035 citations
2. Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-ImprovementAn Yang, Beichen Zhang, Binyuan Hui, et al.2024 · 410 citations
3. A Survey on Large Language Models for Code GenerationJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
4. The AI Scientist: Towards Fully Automated Open-Ended Scientific DiscoveryChris Lu, Cong Lu, Robert Tjarko Lange, et al.2024 · 362 citations
5. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder PipelineTianle Li, Wei-Lin Chiang, Evan Frick, et al.2024 · 191 citations
6. Scaling Synthetic Data Creation with 1,000,000,000 PersonasTao Ge, Xin Chan, Xiaoyang Wang, et al.2024 · 160 citations
7. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyWeiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 159 citations
8. Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language ModelsBofei Gao, Feifan Song, Zhe Yang, et al.2024 · 159 citations
9. The Lessons of Developing Process Reward Models in Mathematical ReasoningZhenru Zhang, Chujie Zheng, Yangzhen Wu, et al.2025 · 155 citations
10. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingZhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 144 citations
11. DeepSeek-V4: Towards Highly Efficient Million-Token Context IntelligenceDeepSeek-AI, Anyi Xu, Bangcai Lin, et al.2026 · 117 citations
12. DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree SearchHuajian Xin, Z. Z. Ren, Junxiao Song, et al.2024 · 113 citations
13. Scaling Laws for Code: A More Data-Hungry RegimeXianzhen Luo, Wenzhen Zheng, Qingfu Zhu, et al.2026 · 3 citations
14. Survey of Tool Use in Large Language Models (大语言模型的工具使用综述)Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.2025

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

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