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Who cites Ruoyu Zhang

3,568 citations of their works from 3,564 papers of our library (of the 141,840 whose bibliographies we read) · 102 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Ruoyu Zhang

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  1. Qwen3 Technical ReportarXiv:2505.09388An Yang, Anfeng Li, Baosong Yang, et al.2025 · 3,276 citations
  2. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
  3. DAPO: An Open-Source LLM Reinforcement Learning System at ScalearXiv:2503.14476Qiying Yu, Zheng Zhang, Ruofei Zhu, et al.2025 · 634 citations
  4. s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 584 citations
  5. Instruction Tuning for Large Language Models: A SurveyACM Computing SurveysShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 517 citations
  6. 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 · 335 citations
  7. Kimi K2: Open Agentic IntelligencearXiv:2507.20534Kimi Team, Yifan Bai, Yiping Bao, et al.2025 · 331 citations
  8. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningarXiv:2503.09516Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 303 citations
  9. HuatuoGPT, Towards Taming Language Model to Be a DoctorFindings of the Association for Computational LinguisticsHongbo Zhang, Junying Chen, Feng Jiang, et al.2023 · 282 citations
  10. Understanding R1-Zero-Like Training: A Critical PerspectivearXiv:2503.20783Zichen Liu, Changyu Chen, Wenjun Li, et al.2025 · 266 citations
  11. Search-o1: Agentic Search-Enhanced Large Reasoning ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaoxi Li, Guanting Dong, Jiajie Jin, et al.2025 · 205 citations
  12. LIMO: Less is More for ReasoningarXiv:2502.03387Yixin Ye, Zhen Huang, Yang Xiao, et al.2025 · 204 citations
  13. Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?arXiv:2504.13837 · NeurIPS 2025 Oral; ICML 2025 AI4MATH workshop best paperYang Yue, Zhiqi Chen, Rui Lu, et al.2025 · 196 citations
  14. Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMsarXiv:2412.21187Xingyu Chen, Jiahao Xu, Tian Liang, et al.2024 · 188 citations
  15. Two Tales of Persona in LLMs: A Survey of Role-Playing and PersonalizationFindings of the Association for Computational LinguisticsYu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, et al.2024 · 177 citations
  16. 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 · 174 citations
  17. A-MEM: Agentic Memory for LLM AgentsConference on Neural Information Processing Systems (NeurIPS)Wujiang Xu, Zujie Liang, Kai Mei, et al.2025 · 171 citations
  18. Group Sequence Policy OptimizationarXiv:2507.18071Chujie Zheng, Shixuan Liu, Mingze Li, et al.2025 · 166 citations
  19. Large Language Diffusion ModelsConference on Neural Information Processing Systems (NeurIPS)Shen Nie, Fengqi Zhu, Zebin You, et al.2025 · 164 citations
  20. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsarXiv:2508.06471Aohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 157 citations
  21. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 153 citations
  22. SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildarXiv:2503.18892Weihao Zeng, Yuzhen Huang, Qian Liu, et al.2025 · 148 citations
  23. Process Reinforcement through Implicit RewardsarXiv:2502.01456Ganqu Cui, Lifan Yuan, Zefan Wang, et al.2025 · 147 citations
  24. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsarXiv:2503.01743Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 145 citations
  25. 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 · 142 citations
  26. R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement LearningarXiv:2503.05592Huatong Song, Jinhao Jiang, Yingqian Min, et al.2025 · 137 citations
  27. Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse AttentionarXiv:2502.11089Jingyang Yuan, Huazuo Gao, Damai Dai, et al.2025 · 135 citations
  28. Token-Budget-Aware LLM ReasoningarXiv:2412.18547Tingxu Han, Zhenting Wang, Chunrong Fang, et al.2024 · 135 citations
  29. OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF FrameworkarXiv:2405.11143Jian Hu, Xibin Wu, Wei Shen, et al.2024 · 132 citations
  30. 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 · 121 citations
  31. DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal DecompositionarXiv:2504.21801Z. Z. Ren, Zhihong Shao, Junxiao Song, et al.2025 · 120 citations
  32. L1: Controlling How Long A Reasoning Model Thinks With Reinforcement LearningarXiv:2503.04697Pranjal Aggarwal, Sean Welleck2025 · 119 citations
  33. DeepSeek-V4: Towards Highly Efficient Million-Token Context IntelligencearXiv:2606.19348DeepSeek-AI, Anyi Xu, Bangcai Lin, et al.2026 · 117 citations
  34. Demystifying Long Chain-of-Thought Reasoning in LLMsarXiv:2502.03373Edward Yeo, Yuxuan Tong, Morry Niu, et al.2025 · 113 citations
  35. OpenThoughts: Data Recipes for Reasoning ModelsarXiv:2506.04178Etash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 113 citations
  36. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsarXiv:2503.01307Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 110 citations
  37. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
  38. DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world EnvironmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, et al.2025 · 108 citations
  39. TokenSkip: Controllable Chain-of-Thought Compression in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Heming Xia, Chak Tou Leong, Wenjie Wang, et al.2025 · 105 citations
  40. Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement LearningarXiv:2502.14768Tian Xie, Zitian Gao, Qingnan Ren, et al.2025 · 103 citations
  41. On the Safety of Conversational Models: Taxonomy, Dataset, and BenchmarkFindings of the Association for Computational LinguisticsHao Sun, Guangxuan Xu, Jiawen Deng, et al.2022 · 102 citations
  42. OpenCoder: The Open Cookbook for Top-Tier Code Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Siming Huang, Tianhao Cheng, Jason Klein Liu, et al.2025 · 81 citations
  43. GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement LearningarXiv:2507.01006GLM-V Team, Wenyi Hong, Wenmeng Yu, et al.2025 · 79 citations
  44. LLMs Get Lost In Multi-Turn ConversationarXiv:2505.06120Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, et al.2025 · 77 citations
  45. Llama-Nemotron: Efficient Reasoning ModelsarXiv:2505.00949Akhiad Bercovich, Itay Levy, Izik Golan, et al.2025 · 75 citations
  46. MoBA: Mixture of Block Attention for Long-Context LLMsConference on Neural Information Processing Systems (NeurIPS)Enzhe Lu, Zhejun Jiang, Jingyuan Liu, et al.2025 · 75 citations
  47. MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Weihao Xuan, Rui Yang, Heli Qi, et al.2025 · 74 citations
  48. CBLUE: A Chinese Biomedical Language Understanding Evaluation BenchmarkarXiv:2106.08087Ningyu Zhang, Mosha Chen, Zhen Bi, et al.2021 · 71 citations
  49. Kimi-VL Technical ReportarXiv:2504.07491Kimi Team, Angang Du, Bohong Yin, et al.2025 · 67 citations
  50. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
  51. CoT-Valve: Length-Compressible Chain-of-Thought TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyin Ma, Guangnian Wan, Runpeng Yu, et al.2025 · 64 citations
  52. Inference-Time Scaling for Generalist Reward ModelingarXiv:2504.02495Zijun Liu, Peiyi Wang, Runxin Xu, et al.2025 · 64 citations
  53. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 64 citations
  54. ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement LearningarXiv:2504.01296Bairu Hou, Yang Zhang, Jiabao Ji, et al.2025 · 64 citations
  55. Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement LearningarXiv:2504.13914ByteDance Seed, Jiaze Chen, Tiantian Fan, et al.2025 · 61 citations
  56. MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning AttentionarXiv:2506.13585MiniMax, Aili Chen, Aonian Li, et al.2025 · 58 citations
  57. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingarXiv:2502.06703Runze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
  58. New Trends for Modern Machine Translation with Large Reasoning ModelsLanguage Resources and Evaluation Conference (LREC)Sinuo Liu, Chenyang Lyu, Minghao Wu, et al.2026 · 16 citations
  59. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM ReasoningarXiv:2504.01005Nishad Singhi, Hritik Bansal, Arian Hosseini, et al.2025 · 12 citations
  60. MORQA: Benchmarking Evaluation Metrics for Medical Open-Ended Question AnsweringLanguage Resources and Evaluation Conference (LREC)Wen-wai Yim, Asma Ben Abacha, Zixuan Yu, et al.2026 · 11 citations
  61. Can LLMs Evaluate What They Cannot Annotate? Revisiting LLM Reliability in Hate Speech DetectionLanguage Resources and Evaluation Conference (LREC)Paloma Piot, David Otero, Patricia Martin-Rodilla, et al.2026 · 5 citations
  62. ARB: A Comprehensive Arabic Multimodal Reasoning BenchmarkLanguage Resources and Evaluation Conference (LREC)Sara Ghaboura, Shubham Patle, Ketan More, et al.2026 · 3 citations
  63. Culture-Aware Machine Translation in Large Language Models: Benchmarking and InvestigationAnnual Meeting of the Association for Computational Linguistics (ACL)Zekun Yuan, Yangfan Ye, Xiaocheng Feng, et al.2026 · 2 citations
  64. Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMsShaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.2026 · 2 citations
  65. The Riddle of Reflection: Evaluating Reasoning and Self-Awareness in Multilingual LLMs Using Indian RiddlesLanguage Resources and Evaluation Conference (LREC)Abhinav P M, Ojasva Saxena, Oswald C, et al.2026 · 2 citations
  66. UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in UrduFindings of the Association for Computational LinguisticsFarah Adeeba, Brian Dillon, Hassan Sajjad, et al.2026 · 2 citations
  67. Can LLMs Translate Italy's Language Varieties?Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)Edoardo Signoroni, Pavel Rychlý2026 · 1 citation
  68. Conversational Assistants to Support Patients with Heart Failure: Comparing a Neurosymbolic Architecture with GPTLanguage Resources and Evaluation Conference (LREC)Anuja Tayal, Devika Salunke, Barbara Di Eugenio, et al.2026 · 1 citation
  69. Datasets for Verb Alternations across Languages: BLM Templates and Data Augmentation StrategiesLanguage Resources and Evaluation Conference (LREC)Giuseppe Samo, Paola Merlo2026 · 1 citation
  70. GIL-Zaragoza at SemEval 2026 Task 11: Comparing Classification, Autoformalization, and Ontologies for Formal Reasoning CapabilitiesInternational Workshop on Semantic Evaluation (SemEval)Francisco Lopez-Ponce, Lucia Pitarch, Iván Saavedra Martínez, et al.2026 · 1 citation
  71. Is This Idea Novel? An Automated Benchmark for Judgment of Research IdeasLanguage Resources and Evaluation Conference (LREC)Tim Schopf, Michael Färber2026 · 1 citation
  72. Reformulate and Create, Don't Translate: Creating Natural Prompts for Underserved LanguagesLanguage Resources and Evaluation Conference (LREC)Annika Simonsen, Mathias Stenlund, Lars Bungum, et al.2026 · 1 citation
  73. Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual ReasoningConference on Computational Natural Language Learning (CoNLL)Mohit Vaishnav, Tanel Tammet2026 · 1 citation
  74. Synthetic Function Demonstrations Improve Generation in Low-Resource Programming LanguagesLanguage Resources and Evaluation Conference (LREC)Nick McKenna, Xinnuo Xu, Jack Williams, et al.2026 · 1 citation
  75. Babies Learn to Look Ahead: Multi-Token Prediction in Small LMsBabyLM WorkshopAnsar Aynetdinov, Alan Akbik2025 · 1 citation
  76. HAMSA: Hijacking Aligned Compact Models via Stealthy AutomationarXiv:2508.16484Alexey Krylov, Iskander Vagizov, Dmitrii Korzh, et al.2025 · 1 citation
  77. A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)Acta Automatica Sinica (自动化学报)Anda Tang (唐岸达), Zhouchen Lin (林宙辰)2026
  78. AmDi - Ambiguous Words Diachronic DatasetLanguage Resources and Evaluation Conference (LREC)Felix Thielen, Kai Kugler2026
  79. AraDynFact: Dynamic Evaluation of Factual Knowledge in ArabicarXiv:2609.35461Ignacio Iacobacci, Faroq Altam, Zhaozhi Qian, et al.2026
  80. Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual AugmentationLanguage Resources and Evaluation Conference (LREC)Kaveh Eskandari Miandoab, Mahammed Kamruzzaman, Arshia Gharooni, et al.2026
  81. DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised DistillationLanguage Resources and Evaluation Conference (LREC)Tom Röhr, Thomas Maximilian Josef Steffek, Roman Teucher, et al.2026
  82. Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order PerturbationsLanguage Resources and Evaluation Conference (LREC)Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.2026
  83. E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference DatasetsIEEE AccessKhloud AL Jallad, Nada Ghneim, Ghaida Rebdawi2026
  84. Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge GroundingLanguage Resources and Evaluation Conference (LREC)Priyanshu Priya, Hardik Goyal, Asif Ekbal2026
  85. GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and GeneratorsLanguage Resources and Evaluation Conference (LREC)Manuel Schaaf, Kevin Bönisch, Alexander Mehler2026
  86. Harm or Humor: A Multimodal, Multilingual Benchmark for Overt and Covert Harmful HumorarXiv:2603.17759Ahmed Sharshar, Hosam Elgendy, Saad El Dine Ahmed, et al.2026
  87. Hindsight Quality Prediction Experiments in Multi-Candidate Human-Post-Edited Machine TranslationLanguage Resources and Evaluation Conference (LREC)Malik Marmonier, Benoît Sagot, Rachel Bawden2026
  88. ID10M-JAM: Stress-Testing Idiom Identification Under Challenging ContextFindings of the Association for Computational LinguisticsKai Golan Hashiloni, Lior Livyatan, Ofri Hefetz, et al.2026
  89. Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource LanguagesNoam Dahan, Omer Kidron, Gabriel Stanovsky2026
  90. Meaning Over Morphology: A Multi-Metric Benchmark of LLMs for Bangla Dialect TranslationProceedings of the First Workshop on Dialects in NLP –- A Resource PerspectiveSoumik Deb Niloy, Subhey Sadi Rahman, Mahbub E Sobhani, et al.2026
  91. mSCoRe: A Multilingual and Scalable Benchmark for Skill-based Commonsense ReasoningLanguage Resources and Evaluation Conference (LREC)Nghia Trung Ngo, Franck Dernoncourt, Thien Huu Nguyen2026
  92. Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.2026
  93. Multimodal LLMs Do Not Compose Skills Optimally across ModalitiesLanguage Resources and Evaluation Conference (LREC)Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune2026
  94. Persona-Conditioned Generation of Patient Self-Reports from EHRsLanguage Resources and Evaluation Conference (LREC)Yuexin Wu, Jianming Wei, Vasile Rus2026
  95. Quantifying Metric and Model Agreement in Bias Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Arash Asgari, Huan Wu, Amirreza Naziri, et al.2026
  96. SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent SpaceConference of the European Chapter of the Association for Computational Linguistics (EACL)Viktoriia Zinkovich, Anton Antonov, Andrei Spiridonov, et al.2026
  97. Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity DetectionLanguage Resources and Evaluation Conference (LREC)Dylan Phelps, Rodrigo Wilkens, Edward Gow-Smith, et al.2026
  98. STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across DomainsLanguage Resources and Evaluation Conference (LREC)Daniel Steinigen, Lucie Flek, Sebastian Houben2026
  99. The Surge of Anti-Semitism in German Social Media following the October 7 AttacksarXiv:2609.36290Gregor Wiedemann, Daniel Wehrend2026
  100. Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral VignettesLanguage Resources and Evaluation Conference (LREC)Quintin Myers, Yanjun Gao2026

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