🧑‍🔬 Who cites Xuehai He

105 citations of their works from 105 papers of our library (of the 149,439 whose bibliographies we read) · 36 with a page here, the most cited first · ← Xuehai He

1. 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
2. TTRL: Test-Time Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Yuxin Zuo, Kaiyan Zhang, Li Sheng, et al.2025 · 76 citations
3. Dynamic Early Exit in Reasoning ModelsarXiv:2504.15895Chenxu Yang, Qingyi Si, Yongjie Duan, et al.2025 · 74 citations
4. Kevin: Multi-Turn RL for Generating CUDA KernelsarXiv 2025Carlo Baronio, Pietro Marsella, Ben Pan, et al.2025 · 69 citations
5. Reasoning with Exploration: An Entropy PerspectivearXiv:2506.14758Daixuan Cheng, Shaohan Huang, Xuekai Zhu, et al.2025 · 63 citations
6. Generalizing Verifiable Instruction FollowingConference on Neural Information Processing Systems (NeurIPS)Valentina Pyatkin, Saumya Malik, Victoria Graf, et al.2025 · 59 citations
7. Absolute Zero: Reinforced Self-play Reasoning with Zero DataConference on Neural Information Processing Systems (NeurIPS)Andrew Zhao, Yiran Wu, Yang Yue, et al.2025 · 57 citations
8. Spurious Rewards: Rethinking Training Signals in RLVRarXiv:2506.10947Rulin Shao, Shuyue Stella Li, Rui Xin, et al.2025 · 53 citations
9. LightThinker: Thinking Step-by-Step CompressionConference on Empirical Methods in Natural Language Processing (EMNLP)Jintian Zhang, Yuqi Zhu, Mengshu Sun, et al.2025 · 50 citations
10. CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome RewardConference on Empirical Methods in Natural Language Processing (EMNLP)Shudong Liu, Hongwei Liu, Junnan Liu, et al.2025 · 16 citations
11. Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language ModelsarXiv:2503.24377Rui Wang, Hongru Wang, Boyang Xue, et al.2025 · 16 citations
12. Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper ReasoningFindings of the Association for Computational LinguisticsCan Xie, Ruotong Pan, Xiangyu Wu, et al.2026 · 15 citations
13. 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
14. Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 citations
15. TemplateRL: Structured Template-Guided Reinforcement Learning for LLM ReasoningFindings of the Association for Computational LinguisticsJinyang Wu, Chonghua Liao, Mingkuan Feng, et al.2026 · 8 citations
16. 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
17. Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Zelin Tan, Hejia Geng, Xiaohang Yu, et al.2026 · 6 citations
18. Beyond Majority Voting: Towards Fine-grained and More Reliable Reward Signal for Test-Time Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Weiqin Wang, Yile Wang, Kehao Chen, et al.2026 · 4 citations
19. Beyond Hard Masks: Progressive Token Evolution for Diffusion Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Linhao Zhong, Linyu Wu, Bozhen Fang, et al.2026 · 2 citations
20. Beyond Outcome Verification: Verifiable Process Reward Models for Structured ReasoningFindings of the Association for Computational LinguisticsMassimiliano Pronesti, Anya Belz, Yufang Hou2026 · 2 citations
21. Garbage In, Reasoning Out? Why Benchmark Scores are Unreliable and What to Do About ItFindings of the Association for Computational LinguisticsSeyed Mahed Mousavi, Edoardo Cecchinato, Lucia Horníková, et al.2026 · 2 citations
22. Logit Arithmetic Elicits Long Reasoning Capabilities Without TrainingFindings of the Association for Computational LinguisticsYunxiang Zhang, Muhammad Khalifa, Lechen Zhang, et al.2026 · 2 citations
23. What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test TimeAnnual Meeting of the Association for Computational Linguistics (ACL)Dong Yan, Jian Liang, Yanbo Wang, et al.2026 · 2 citations
24. A Survey of Deep Learning for Geometry Problem SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Jianzhe Ma, Wenxuan Wang, Qin Jin2026 · 1 citation
25. Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable RewardsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraXin Zhang, Xingyu Li, Rongguang Wang, et al.2026 · 1 citation
26. Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement LearningFindings of the Association for Computational LinguisticsZhiyin Yu, Bo Zhang, Qibin Hou, et al.2026 · 1 citation
27. SpiralThinker: Latent Reasoning through an Iterative Process with Text–Latent InterleavingFindings of the Association for Computational LinguisticsShengmin Piao, Sanghyun Park2026 · 1 citation
28. A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and SolutionsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyin Yu, Yuchen Mou, Juncheng Yan, et al.2026
29. AT\texttwosuperiorPO: Agentic Turn-based Policy Optimization via Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Zefang Zong, Dingwei Chen, Yang Li, et al.2026
30. Data Efficient RLVR via Off-Policy Influence GuidanceAnnual Meeting of the Association for Computational Linguistics (ACL)Erle Zhu, Dazhi Jiang, Yuan Wang, et al.2026
31. Entropy Scheduling in Reinforcement Learning for Large Language ModelsFindings of the Association for Computational LinguisticsXingjin Wang, Howe Tissue, Lu Wang, et al.2026
32. LEPO: Latent Reasoning Policy Optimization for Large Language ModelsFindings of the Association for Computational LinguisticsYuyan Zhou, Jiarui Yu, Hande Dong, et al.2026
33. N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy OptimizationFindings of the Association for Computational LinguisticsXukun Zhu, Hang Yu, Peng Di, et al.2026
34. Parallel Test-Time Scaling for Latent Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Runyang You, Yongqi Li, Meng Liu, et al.2026
35. Tandem Training for Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Robert West, Ashton Anderson, Ece Kamar, et al.2026
36. WildSci: Advancing Scientific Reasoning from In-the-Wild LiteratureFindings of the Association for Computational LinguisticsTengxiao Liu, Deepak Nathani, Zekun Li, et al.2026

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