🧑‍🔬 Who cites Wenyuan Xu

136 citations of their works from 127 papers of our library (of the 149,439 whose bibliographies we read) · 46 with a page here, the most cited first · ← Wenyuan Xu

1. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
2. Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM ReasoningConference on Neural Information Processing Systems (NeurIPS)Shenzhi Wang, Le Yu, Chang Gao, et al.2025 · 152 citations
3. Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base ModelConference on Neural Information Processing Systems (NeurIPS)Jingcheng Hu, Yinmin Zhang, Qi Han, et al.2025 · 128 citations
4. Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI ArchitecturesProceedings - International Symposium on Computer Architecture/ProceedingsChenggang Zhao, Chengqi Deng, Chong Ruan, et al.2025 · 74 citations
5. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 67 citations
6. MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning AttentionarXiv:2506.13585MiniMax, Aili Chen, Aonian Li, et al.2025 · 66 citations
7. Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement LearningarXiv:2504.13914ByteDance Seed, Jiaze Chen, Tiantian Fan, et al.2025 · 62 citations
8. WebDancer: Towards Autonomous Information Seeking AgencyConference on Neural Information Processing Systems (NeurIPS)Jialong Wu, Baixuan Li, Runnan Fang, et al.2025 · 50 citations
9. UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement LearningarXiv:2509.02544Haoming Wang, Haoyang Zou, Huatong Song, et al.2025 · 26 citations
10. Seed-Coder: Let the Code Model Curate Data for ItselfarXiv:2506.03524ByteDance Seed, Yuyu Zhang, Jing Su, et al.2025 · 25 citations
11. AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL SynergyarXiv:2506.13284Zihan Liu, Zhuolin Yang, Yang Chen, et al.2025 · 21 citations
12. WideSearch: Benchmarking Agentic Broad Info-SeekingarXiv:2508.07999Ryan Wong, Jiawei Wang, Junjie Zhao, et al.2025 · 20 citations
13. Seed-Prover 1.5: Mastering Undergraduate-Level Theorem Proving via Learning from ExperiencearXiv:2512.17260Jiangjie Chen, Wenxiang Chen, Jiacheng Du, et al.2025 · 19 citations
14. Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning ChainsConference on Neural Information Processing Systems (NeurIPS)Wenhui Tan, Jiaze Li, Jianzhong Ju, et al.2025 · 19 citations
15. VerIF: Verification Engineering for Reinforcement Learning in Instruction FollowingConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.2025 · 18 citations
16. CriticLean: Critic-Guided Reinforcement Learning for Mathematical FormalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhongyuan Peng, Yifan Yao, Kaijing Ma, et al.2026 · 12 citations
17. Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM ReasoningarXiv:2505.15154Jinghui Lu, Haiyang Yu, Siliang Xu, et al.2025 · 11 citations
18. What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Gangwei Jiang, Yahui Liu, Zhaoyi Li, et al.2025 · 11 citations
19. Reinforced Efficient Reasoning via Semantically Diverse ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqi Zhao, Zhaochun Ren, Jiahong Zou, et al.2026 · 9 citations
20. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language ModelsarXiv:2505.00551Chong Zhang, Yue Deng, Xiang Lin, et al.2025 · 9 citations
21. ReviewRL: Towards Automated Scientific Review with RLConference on Empirical Methods in Natural Language Processing (EMNLP)Sihang Zeng, Kai Tian, Kaiyan Zhang, et al.2025 · 9 citations
22. PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative VerifierarXiv:2506.10406Yuhua Jiang, Yuwen Xiong, Yufeng Yuan, et al.2025 · 8 citations
23. NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Liu, Siya Qi, Xinyu Wang, et al.2025 · 7 citations
24. RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yihong Dong, Xue Jiang, Yongding Tao, et al.2026 · 6 citations
25. rStar2-Agent: Agentic Reasoning Technical ReportarXiv:2508.20722Ning Shang, Yifei Liu, Yi Zhu, et al.2025 · 6 citations
26. DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable ConstraintsAnnual Meeting of the Association for Computational Linguistics (ACL)Yinger Zhang, Shutong Jiang, Renhao Li, et al.2026 · 5 citations
27. Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Dadi Guo, Jiayu Liu, Zhiyuan Fan, et al.2026 · 5 citations
28. Teach Small Models to Reason by Curriculum DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Wangyi Jiang, Yaojie Lu, Hongyu Lin, et al.2025 · 5 citations
29. Rethinking Sample Polarity in Reinforcement Learning with Verifiable RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Tang, Yuliang Zhan, Zhixun Li, et al.2026 · 4 citations
30. Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xuanyu Lei, Chenliang Li, Yuning Wu, et al.2026 · 4 citations
31. Kimi-Dev: Agentless Training as Skill Prior for SWE-AgentsarXiv:2509.23045Zonghan Yang, Shengjie Wang, Kelin Fu, et al.2025 · 4 citations
32. Instructions are all you need: Self-supervised Reinforcement Learning for Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyu Ren, Qianyu He, Powei Chang, et al.2026 · 3 citations
33. MathCanvas: Intrinsic Visual Chain-of-Thought for Multimodal Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Weikang Shi, Aldrich Yu, Rongyao Fang, et al.2026 · 3 citations
34. SynthRL: Scaling Visual Reasoning with Verifiable Data SynthesisFindings of the Association for Computational LinguisticsZijian Wu, Jinjie Ni, Xiangyan Liu, et al.2026 · 3 citations
35. Failure makes the agent stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool InteractionsFindings of the Association for Computational LinguisticsJunhao Su, Yuanliang Wan, Junwei Yang, et al.2026 · 2 citations
36. CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Teng Pan, Yuchen Yan, Zixuan Wang, et al.2026 · 1 citation
37. Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement LearningFindings of the Association for Computational LinguisticsZhenpeng Su, Leiyu Pan, Minxuan Lv, et al.2026 · 1 citation
38. MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Zhao, Hepeng Wang, Xiao Ding, et al.2026 · 1 citation
39. Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning ModelsFindings of the Association for Computational LinguisticsHoang Phan, Xianjun Yang, Yuanshun Yao, et al.2026
40. Disagreement-Driven Joint Refinement of Retrieval and Decision Rules for Imbalanced Counseling Risk ClassificationWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECZhihao Shao, Ryo Sekizaki, Shengzhou Yi, et al.2026
41. Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement LearningFindings of the Association for Computational LinguisticsTiehua Mei, Minxuan Lv, Leiyu Pan, et al.2026
42. PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Rongchuan Mu, Zexin Wang, Qianyu Wang, et al.2026
43. Pause or Fabricate? Training Language Models for Grounded ReasoningFindings of the Association for Computational LinguisticsYiwen Qiu, Linjuan Wu, Yizhou Liu, et al.2026
44. PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and EngineeringAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangfeng Wang, Hangyu Guo, Yanlin Lai, et al.2026
45. ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Qin, Liangxin Liu, Yu Liang, et al.2026
46. V-RoLoRA: RLVR-Driven MoE Routing for Steerable Pluralistic AlignmentFindings of the Association for Computational LinguisticsJing Wang, Yaomin Wu, Yinglin Wang, et al.2026

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