🧑‍🔬 Who cites Xuekai Zhu

229 citations of their works from 222 papers of our library (of the 149,439 whose bibliographies we read) · 75 with a page here, the most cited first · ← Xuekai Zhu

1. A Survey on Model Compression for Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Xunyu Zhu, Jian Li, Yong Liu, et al.2024 · 381 citations
2. 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
3. MedGemma Technical ReportarXiv:2507.05201Andrew Sellergren, Sahar Kazemzadeh, Tiam Jaroensri, et al.2025 · 150 citations
4. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
5. A Survey on Efficient Inference for Large Language ModelsarXiv:2404.14294Zixuan Zhou, Xuefei Ning, Ke Hong, et al.2024 · 113 citations
6. The Entropy Mechanism of Reinforcement Learning for Reasoning Language ModelsarXiv:2505.22617Ganqu Cui, Yuchen Zhang, Jiacheng Chen, et al.2025 · 101 citations
7. Reinforcement Learning for Reasoning in Large Language Models with One Training ExampleConference on Neural Information Processing Systems (NeurIPS)Yiping Wang, Qing Yang, Zhiyuan Zeng, et al.2025 · 87 citations
8. Reinforcement Learning via Self-DistillationarXiv:2601.20802Jonas Hubotter, Frederike Lubeck, Lejs Behric, et al.2026 · 74 citations
9. Learning to Reason under Off-Policy GuidanceConference on Neural Information Processing Systems (NeurIPS)Jianhao Yan, Yafu Li, Zican Hu, et al.2025 · 68 citations
10. Reasoning with Exploration: An Entropy PerspectivearXiv:2506.14758Daixuan Cheng, Shaohan Huang, Xuekai Zhu, et al.2025 · 63 citations
11. 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
12. Spurious Rewards: Rethinking Training Signals in RLVRarXiv:2506.10947Rulin Shao, Shuyue Stella Li, Rui Xin, et al.2025 · 53 citations
13. WebDancer: Towards Autonomous Information Seeking AgencyConference on Neural Information Processing Systems (NeurIPS)Jialong Wu, Baixuan Li, Runnan Fang, et al.2025 · 50 citations
14. Qwen3.5-Omni Technical ReportarXiv:2604.15804Qwen Team2026 · 29 citations
15. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
16. Rethinking Entropy Interventions in RLVR: An Entropy Change PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Zhezheng Hao, Hong Wang, Haoyang Liu, et al.2026 · 22 citations
17. Baichuan-M2: Scaling Medical Capability with Large Verifier SystemarXiv:2509.02208Chengfeng Dou, Chong Liu, Fan Yang, et al.2025 · 19 citations
18. Large Language Models as Biomedical Hypothesis Generators: A Comprehensive EvaluationarXiv:2407.08940Biqing Qi, Kaiyan Zhang, Kai Tian, et al.2024 · 19 citations
19. 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
20. StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to ReasonAnnual Meeting of the Association for Computational Linguistics (ACL)Kaiyi Zhang, Ang Lv, Jinpeng Li, et al.2026 · 13 citations
21. Step Potential Advantage Estimation: Harnessing Intermediate Confidence and Correctness for Efficient Mathematical ReasoningFindings of the Association for Computational LinguisticsFei Wu, Zhenrong Zhang, Qikai Chang, et al.2026 · 11 citations
22. Distilling LLM Agent into Small Models with Retrieval and Code ToolsarXiv:2505.17612Minki Kang, Jongwon Jeong, Seanie Lee, et al.2025 · 11 citations
23. Mixed Distillation Helps Smaller Language Model Better ReasoningarXiv:2312.10730Chenglin Li, Qianglong Chen, Liangyue Li, et al.2023 · 11 citations
24. AlphaOne: Reasoning Models Thinking Slow and Fast at Test TimeConference on Empirical Methods in Natural Language Processing (EMNLP)Junyu Zhang, Runpei Dong, Han Wang, et al.2025 · 10 citations
25. Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RLarXiv:2505.17952Che Liu, Haozhe Wang, Jiazhen Pan, et al.2025 · 10 citations
26. ATLAS: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex ReasoningFindings of the Association for Computational LinguisticsJinyang Wu, Guocheng Zhai, Ruihan Jin, et al.2026 · 8 citations
27. 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
28. CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenpeng Su, Leiyu Pan, Minxuan Lv, et al.2026 · 7 citations
29. DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language ModelsFindings of the Association for Computational LinguisticsYakun Zhu, Zhongzhen Huang, Linjie Mu, et al.2026 · 7 citations
30. MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoliang Fu, Jiaye Lin, Yangyi Fang, et al.2026 · 7 citations
31. rStar2-Agent: Agentic Reasoning Technical ReportarXiv:2508.20722Ning Shang, Yifei Liu, Yi Zhu, et al.2025 · 6 citations
32. The DISRPT 2025 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation ClassificationShared Task on Discourse Relation Parsing and TreebankingChloé Braud, Amir Zeldes, Chuyuan Li, et al.2025 · 5 citations
33. 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
34. Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided VerificationFindings of the Association for Computational LinguisticsYuxuan Wan, Tianqing Fang, Zaitang LI, et al.2026 · 4 citations
35. Patient-Similarity Cohort Reasoning in Clinical Text-to-SQLConference of the European Chapter of the Association for Computational Linguistics (EACL)Yifei Shen, Yilun Zhao, Justice Ou, et al.2026 · 4 citations
36. Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and OpportunitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Changdae Oh, Seongheon Park, To Eun Kim, et al.2026 · 4 citations
37. Incentivizing In-depth Reasoning over Long Contexts with Process Advantage ShapingFindings of the Association for Computational LinguisticsMiao Peng, Weizhou Shen, Nuo Chen, et al.2026 · 3 citations
38. LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General IntelligenceFindings of the Association for Computational LinguisticsWenjin Liu, Haoran Luo, Xin Feng, et al.2026 · 2 citations
39. Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM UnlearningAnnual Meeting of the Association for Computational Linguistics (ACL)Naixin Zhai, Pengyang Shao, Binbin Zheng, et al.2026 · 2 citations
40. 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
41. Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Wu, Liyi Chen, Congxi Xiao, et al.2026 · 1 citation
42. Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Pu, Chaozhuo Li, Rui Ha, et al.2026 · 1 citation
43. 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
44. DeepMed: Building a Medical DeepResearch Agent via Multi-hop Med-Search Data and Turn-Controlled Agentic Training & InferenceFindings of the Association for Computational LinguisticsZihan Wang, Hao Wang, Shi Feng, et al.2026 · 1 citation
45. 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
46. 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
47. How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical ContextsFindings of the Association for Computational LinguisticsMinh-Vuong Nguyen, Fatemeh Shiri, Zhuang Li, et al.2026 · 1 citation
48. On the Step Length Confounding in LLM Reasoning Data SelectionFindings of the Association for Computational LinguisticsBing Wang, Rui Miao, Chen Shen, et al.2026 · 1 citation
49. Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Rahul Thapa, Qingyang Wu, Kevin Wu, et al.2026 · 1 citation
50. TAGS: A Test-Time Generalist–Specialist Framework with Retrieval-Augmented Reasoning and VerificationFindings of the Association for Computational LinguisticsJianghao Wu, Feilong Tang, Yulong Li, et al.2026 · 1 citation
51. Visually-Guided Policy Optimization for Multimodal ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Zengbin Wang, Feng Xiong, Liang Lin, et al.2026 · 1 citation
52. Benchmarking the Medical Understanding and Reasoning of Large Language Models in Arabic Healthcare TasksarXiv:2508.15797Nouar AlDahoul, Yasir Zaki2025 · 1 citation
53. Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem SolvingarXiv:2512.10739Yuzhe Gu, Songyang Gao, Zijian Wu, et al.2025 · 1 citation
54. 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
55. Beyond Single View: A Comprehensive Benchmark for Medical Multimodal Large Language Models on Multi-Image UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Dexuan Xu, Yuan Jiayin, Jianing Wang, et al.2026
56. Can LLMs Reason Like Doctors? Exploring the Limits of Large Language Models in Complex Medical ReasoningFindings of the Association for Computational LinguisticsFlavio Merenda, Jose Manuel Gomez-Perez, German Rigau2026
57. ClinAlign: Scaling Healthcare Alignment from Clinician PreferenceFindings of the Association for Computational LinguisticsShiwei Lyu, Xidong Wang, Hao Zhu, et al.2026
58. Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaoning Sun, Mingzhu Cai, Huang He, et al.2026
59. Entropy Scheduling in Reinforcement Learning for Large Language ModelsFindings of the Association for Computational LinguisticsXingjin Wang, Howe Tissue, Lu Wang, et al.2026
60. GALA: Geometric Data Selection with Strategic Prospecting for Large Language Model Self-trainingFindings of the Association for Computational LinguisticsZhongwei Xie, Ruihao Liao, Zimo Wang, et al.2026
61. GateKD: Confidence-Gated Closed-Loop Distillation for Robust ReasoningWorkshop on Trustworthy NLPKasidit Sermsri, Teerapong Panboonyuen2026
62. Generalizable LLM Learning of Graph Synthetic Data with Post-training AlignmentFindings of the Association for Computational LinguisticsYizhuo Zhang, Heng Wang, Shangbin Feng, et al.2026
63. InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Junyou Su, He Zhu, Xiao Luo, et al.2026
64. MARD: Module-Aware Reasoning Distillation for Language Models with Adaptive SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Yang, Jianjun Li, Zhibo Zhang, et al.2026
65. Revisiting Entropy Regularization: Adaptive Coefficient Unlocks Its Potential for LLM Reinforcement LearningFindings of the Association for Computational LinguisticsXiaoyun Zhang, Xiaojian Yuan, Di Huang, et al.2026
66. Scaling is Not All You Need: Clinical-Oriented Reinforcement Learning Makes Parameter-Efficient Clinical ReasoningFindings of the Association for Computational LinguisticsChi Liu, Yan Shu, Mengzhuo Chen, et al.2026
67. Targeted Exploration via Unified Entropy Control for Reinforcement LearningFindings of the Association for Computational LinguisticsChen Wang, Lai Wei, Yanzhi Zhang, et al.2026
68. TARo: Token-level Adaptive Routing for LLM Test-time AlignmentFindings of the Association for Computational LinguisticsArushi Rai, Qiang Zhang, Hanqing Zeng, et al.2026
69. Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and ReasoningFindings of the Association for Computational LinguisticsCong Wan, Ying He, Zhongzhan Huang, et al.2026
70. The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Shu Zhou, Jinman Leng, Yufei Song, et al.2026
71. Training-Free Test-Time Contrastive Learning for Large Language ModelsFindings of the Association for Computational LinguisticsKaiwen Zheng, Kai Zhou, Jinwu Hu, et al.2026
72. Triviality Corrected Endogenous RewardAnnual Meeting of the Association for Computational Linguistics (ACL)Xinda Wang, Zhengxu Hou, Yangshijie Zhang, et al.2026
73. Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math ReasoningFindings of the Association for Computational LinguisticsYongcan Yu, Lingxiao He, Jian Liang, et al.2026
74. Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow OptimizationFindings of the Association for Computational LinguisticsHuimin Xu, Shuai Zhao, Xiaobao Wu, et al.2026
75. Verifier-Free RL for LLMs via Intrinsic Gradient-Norm RewardFindings of the Association for Computational LinguisticsXuexiang Wen, Hang Yu, Linchao Zhu, et al.2026

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