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Who cites Yuxiang Zheng

149 citations of their works from 147 papers of our library (of the 149,439 whose bibliographies we read) · 67 with a page here, the most cited first · ← Yuxiang Zheng

  1. s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 608 citations
  2. Large Language Models for Information Retrieval: A SurveyACM Transactions on Information SystemsYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 339 citations
  3. LIMO: Less is More for ReasoningarXiv:2502.03387Yixin Ye, Zhen Huang, Yang Xiao, et al.2025 · 209 citations
  4. rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep ThinkingarXiv:2501.04519Xinyu Guan, Li Lyna Zhang, Yifei Liu, et al.2025 · 146 citations
  5. Multi-Step Reasoning with Large Language Models, a SurveyACM Computing SurveysAske Plaat, Annie Wong, Suzan Verberne, et al.2024 · 106 citations
  6. ToolRL: Reward is All Tool Learning NeedsarXiv:2504.13958Cheng Qian, Emre Can Acikgoz, Qi He, et al.2025 · 94 citations
  7. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
  8. Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning SystemsarXiv:2412.09413Yingqian Min, Zhipeng Chen, Jinhao Jiang, et al.2024 · 66 citations
  9. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
  10. ToRL: Scaling Tool-Integrated RLarXiv:2503.23383Xuefeng Li, Haoyang Zou, Pengfei Liu2025 · 61 citations
  11. LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!arXiv:2502.07374Dacheng Li, Shiyi Cao, Tyler Griggs, et al.2025 · 56 citations
  12. ZeroSearch: Incentivize the Search Capability of LLMs without SearchingarXiv:2505.04588Hao Sun, Zile Qiao, Jiayan Guo, et al.2025 · 50 citations
  13. WebSailor: Navigating Super-human Reasoning for Web AgentarXiv:2507.02592Kuan Li, Zhongwang Zhang, Huifeng Yin, et al.2025 · 49 citations
  14. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingarXiv:2502.06703Runze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
  15. A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic SystemsarXiv:2504.09037Zixuan Ke, Fangkai Jiao, Yifei Ming, et al.2025 · 39 citations
  16. RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?arXiv:2501.11284Haotian Xu, Xing Wu, Weinong Wang, et al.2025 · 37 citations
  17. Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning PerspectivearXiv:2412.14135Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.2024 · 33 citations
  18. WideSearch: Benchmarking Agentic Broad Info-SeekingarXiv:2508.07999Ryan Wong, Jiawei Wang, Junjie Zhao, et al.2025 · 20 citations
  19. Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMsarXiv:2507.09477Yangning Li, Weizhi Zhang, Yuyao Yang, et al.2025 · 17 citations
  20. Training a Scientific Reasoning Model for ChemistryarXiv:2506.17238Siddharth M. Narayanan, James D. Braza, Ryan-Rhys Griffiths, et al.2025 · 15 citations
  21. Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT DistillationarXiv:2503.16385Yijia Luo, Yulin Song, Xingyao Zhang, et al.2025 · 14 citations
  22. Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language ModelsarXiv:2505.03469Bin Yu, Hang Yuan, Haotian Li, et al.2025 · 13 citations
  23. Pangu Embedded: An Efficient Dual-system LLM Reasoner with MetacognitionarXiv:2505.22375Hanting Chen, Yasheng Wang, Kai Han, et al.2025 · 13 citations
  24. Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive SearcharXiv:2502.02508Maohao Shen, Guangtao Zeng, Zhenting Qi, et al.2025 · 13 citations
  25. SaRO: Enhancing LLM Safety through Reasoning-based AlignmentarXiv:2504.09420Yutao Mou, Yuxiao Luo, Shikun Zhang, et al.2025 · 11 citations
  26. InnovatorBench: Evaluating Agents' Ability to Conduct Innovative LLM ResearcharXiv:2510.27598Yunze Wu, Dayuan Fu, Weiye Si, et al.2025 · 6 citations
  27. A Survey of AI ScientistsarXiv:2510.23045Guiyao Tie, Pan Zhou, Lichao Sun2025 · 5 citations

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