🔗 Who cites «Kimi k1.5: Scaling Reinforcement Learning with LLMs»

401 papers of our library cite it (of the 140,884 whose bibliographies we read) · 18 with a page here, the most cited first · ← the paper

1. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
2. DAPO: An Open-Source LLM Reinforcement Learning System at ScaleQiying Yu, Zheng Zhang, Ruofei Zhu, et al.2025 · 634 citations
3. s1: Simple test-time scalingNiklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 584 citations
4. Kimi K2: Open Agentic IntelligenceKimi Team, Yifan Bai, Yiping Bao, et al.2025 · 331 citations
5. Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?Yang Yue, Zhiqi Chen, Rui Lu, et al.2025 · 196 citations
6. Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMsXingyu Chen, Jiahao Xu, Tian Liang, et al.2024 · 188 citations
7. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 174 citations
8. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsYang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 153 citations
9. SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildWeihao Zeng, Yuzhen Huang, Qian Liu, et al.2025 · 148 citations
10. Process Reinforcement through Implicit RewardsGanqu Cui, Lifan Yuan, Zefan Wang, et al.2025 · 147 citations
11. Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM ReasoningShenzhi Wang, Le Yu, Chang Gao, et al.2025 · 142 citations
12. R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement LearningHuatong Song, Jinhao Jiang, Yingqian Min, et al.2025 · 137 citations
13. Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base ModelJingcheng Hu, Yinmin Zhang, Qi Han, et al.2025 · 121 citations
14. Demystifying Long Chain-of-Thought Reasoning in LLMsEdward Yeo, Yuxuan Tong, Morry Niu, et al.2025 · 113 citations
15. DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world EnvironmentsYuxiang Zheng, Dayuan Fu, Xiangkun Hu, et al.2025 · 108 citations
16. Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement LearningTian Xie, Zitian Gao, Qingnan Ren, et al.2025 · 103 citations
17. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingRunze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
18. Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese TranslationZhan Shen, Jason Naradowsky, Xiaotian Wang, et al.2026

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

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