🧑‍🔬 Who cites Zhirong Wu

308 citations of their works from 306 papers of our library (of the 149,439 whose bibliographies we read) · 70 with a page here, the most cited first · ← Zhirong Wu

1. Fast Graph Representation Learning with PyTorch GeometricarXiv:1903.02428Matthias Fey, Jan Eric Lenssen2019 · 1,440 citations
2. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningarXiv:2503.09516Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 322 citations
3. Perceiver: General Perception with Iterative AttentionarXiv:2103.03206Andrew Jaegle, Felix Gimeno, Andrew Brock, et al.2021 · 269 citations
4. 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
5. From System 1 to System 2: A Survey of Reasoning Large Language ModelsarXiv:2502.17419Zhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang, et al.2025 · 165 citations
6. 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 · 154 citations
7. 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
8. REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage NormalizationarXiv:2501.03262Jian Hu, Jason Klein Liu, Haotian Xu, et al.2025 · 104 citations
9. ToolRL: Reward is All Tool Learning NeedsarXiv:2504.13958Cheng Qian, Emre Can Acikgoz, Qi He, et al.2025 · 94 citations
10. 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
11. WebThinker: Empowering Large Reasoning Models with Deep Research CapabilityConference on Neural Information Processing Systems (NeurIPS)Xiaoxi Li, Jiajie Jin, Guanting Dong, et al.2025 · 72 citations
12. We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?arXiv:2407.01284Runqi Qiao, Qiuna Tan, Guanting Dong, et al.2024 · 65 citations
13. Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMsarXiv:2506.14245Xumeng Wen, Zihan Liu, Shun Zheng, et al.2025 · 62 citations
14. 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
15. Skywork Open Reasoner 1 Technical ReportarXiv:2505.22312Jujie He, Jiacai Liu, Chris Yuhao Liu, et al.2025 · 53 citations
16. Spurious Rewards: Rethinking Training Signals in RLVRarXiv:2506.10947Rulin Shao, Shuyue Stella Li, Rui Xin, et al.2025 · 53 citations
17. A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to ReproducibilityarXiv:2504.07086Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao, et al.2025 · 36 citations
18. OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Tianci Liu, Ran Xu, Tony Yu, et al.2026 · 25 citations
19. Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM ReasoningarXiv:2506.06632Shubham Parashar, Shurui Gui, Xiner Li, et al.2025 · 23 citations
20. InternAgent: When Agent Becomes the Scientist — Building Closed-Loop System from Hypothesis to VerificationarXiv:2505.16938InternAgent Team, Bo Zhang, Shiyang Feng, et al.2025 · 21 citations
21. Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and FeedbackarXiv:2501.03916Jiakang Yuan, Xiangchao Yan, Shiyang Feng, et al.2025 · 19 citations
22. StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)Xuhui Zheng, Kang An, Ziliang Wang, et al.2025 · 19 citations
23. 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
24. Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal CausesConference on Empirical Methods in Natural Language Processing (EMNLP)Mingyang Wang, Lukas Lange, Heike Adel, et al.2025 · 16 citations
25. Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQLFindings of the Association for Computational LinguisticsZhewei Yao, Guoheng Sun, Łukasz Borchmann, et al.2026 · 15 citations
26. Reinforcement-aware Knowledge Distillation for LLM ReasoningarXiv:2602.22495Zhaoyang Zhang, Shuli Jiang, Yantao Shen, et al.2026 · 13 citations
27. QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement LearningarXiv:2505.17667Fanqi Wan, Weizhou Shen, Shengyi Liao, et al.2025 · 13 citations
28. Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets GenerationarXiv:2501.12202Zibo Zhao, Zeqiang Lai, Qingxiang Lin, et al.2025 · 12 citations
29. SoundMind: RL-Incentivized Logic Reasoning for Audio-Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xingjian Diao, Chunhui Zhang, Keyi Kong, et al.2025 · 11 citations
30. SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine TranslationFindings of the Association for Computational LinguisticsWenjie Yang, Mao Zheng, Mingyang Song, et al.2026 · 10 citations
31. Nemotron-CrossThink: Scaling Self-Learning beyond Math ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Syeda Nahida Akter, Shrimai Prabhumoye, Matvei Novikov, et al.2026 · 9 citations
32. Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended TasksarXiv:2602.05125William F. Shen, Xinchi Qiu, Chenxi Whitehouse, et al.2026 · 9 citations
33. 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
34. HunyuanOCR Technical ReportarXiv:2511.19575Hunyuan Vision Team, Pengyuan Lyu, Xingyu Wan, et al.2025 · 9 citations
35. Thinking beyond the anthropomorphic paradigm benefits LLM researchAnnual Meeting of the Association for Computational Linguistics (ACL)Lujain Ibrahim, Myra Cheng2026 · 8 citations
36. Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Wenbin Hu, Haoran Li, Huihao Jing, et al.2025 · 7 citations
37. 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
38. KnowRL: Exploring Knowledgeable Reinforcement Learning for FactualityAnnual Meeting of the Association for Computational Linguistics (ACL)Baochang Ren, Shuofei Qiao, Ningyu Zhang, et al.2026 · 5 citations
39. 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
40. Learning to Optimize Multi-Objective Alignment Through Dynamic Reward WeightingTransactions of the Association for Computational Linguistics (TACL)Yining Lu, Zilong Wang, Shiyang Li, et al.2026 · 4 citations
41. Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT ReasoningFindings of the Association for Computational LinguisticsCehao Yang, Xueyuan Lin, Xiaojun Wu, et al.2026 · 4 citations
42. 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
43. No More Stale Feedback: Co-Evolving Critics for Open-World Agent LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhicong Li, Lingjie Jiang, Yulan Hu, et al.2026 · 3 citations
44. STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Juntong Ni, Shiyu Wang, Qi He, et al.2026 · 3 citations
45. A Critical Study of Automatic Evaluation in Sign Language TranslationLanguage Resources and Evaluation Conference (LREC)Shakib Yazdani, Yasser HAMIDULLAH, Cristina España-Bonet, et al.2026 · 2 citations
46. Beyond Outcome Verification: Verifiable Process Reward Models for Structured ReasoningFindings of the Association for Computational LinguisticsMassimiliano Pronesti, Anya Belz, Yufang Hou2026 · 2 citations
47. Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yongjiang Liu, Haoxi Li, Xiaosong Ma, et al.2026 · 2 citations
48. A Comprehensive Evaluation of Chain-of-Thought Faithfulness in Persian Classification TasksWorkshop on Language Models for Low-Resource LanguagesShakib Yazdani, Cristina España-Bonet, Eleftherios Avramidis, et al.2026 · 1 citation
49. 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
50. AdapThink: Adaptive Thinking Preferences for Reasoning Language ModelsFindings of the Association for Computational LinguisticsWenyue Xu, Xu Wan, Wei Wang, et al.2026
51. 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
52. 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
53. Can Small LLMs Learn a Robust Theory of Mind via RLVR? Investigating Generalization through the False-Belief TaskFindings of the Association for Computational LinguisticsSneheel Sarangi, Hanan Salam2026
54. Crossing the Reward Bridge: Expanding Reinforcement Learning with Verifiable Rewards Across Diverse DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Su, Dian Yu, Linfeng Song, et al.2026
55. Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Xianda Zheng, Huan Gao, Meng-Fen Chiang, et al.2026
56. GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-CallingAnnual Meeting of the Association for Computational Linguistics (ACL)Hao-Xiang Xu, Chong Deng, Jiaqing Liu, et al.2026
57. Infinite Babble: Inflating 3D Vision-Language Model Inference Overhead via Adversarial Geometric PerturbationFindings of the Association for Computational LinguisticsShuoyang Sun, Jiaxin Hong, Yv Zhang, et al.2026
58. Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Zexu Sun, Yongcheng Zeng, Erxue Min, et al.2026
59. Lost in Expression: Diagnosing Systemic Challenges with Non-Manual Generalization in Sign Language Understanding TasksLREC Workshop on the Representation and Processing of Sign Languages: Language in MotionDmitriy Sazonov, Sevgi Z. Gurbuz, Evie A. Malaia2026
60. MDP-GRPO: Stabilized Group Relative Policy Optimization for Multi-Constraint Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammad Mahdi Salmani-Zarchi, Zahra Rahimi, Heshaam Faili, et al.2026
61. Reward Modeling for Scientific Writing EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Furkan Şahinuç, Subhabrata Dutta, Iryna Gurevych2026
62. SAME: Signer-Aware Mixture-of-Experts for Test-Time Adaptation in Sign Language TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Lujia Yang, Weicai Yan, Yongbo He, et al.2026
63. SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanxiao Zhao, Yaqian Li, Zihao Bo, et al.2026
64. ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiasheng Zheng, Xin Zheng, Boxi Cao, et al.2026
65. Shorten After You're Right: Lazy Length Penalties for Reasoning RLFindings of the Association for Computational LinguisticsDanlong Yuan, Tian Xie, Shaohan Huang, et al.2026
66. Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation StandardsAnnual Meeting of the Association for Computational Linguistics (ACL)Yiming Ni, Zhi-Qi Cheng, Jiayu Li, et al.2026
67. Tailored Primitive Initialization is the Secret Key to Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yihang Yao, Guangtao Zeng, Raina Wu, et al.2026
68. 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
69. The Inner Monologue of Language Models: When Reasoning Traces Reveal More Than They HideFindings of the Association for Computational LinguisticsPratham Singla, Shivank Garg, Ayush Singh, et al.2026
70. Generating Questions Under Discussion with Reinforcement Learning using Ranking and Scoring for Reward and EvaluationFindings of the Association for Computational LinguisticsKelvin Han, Claire Gardent2025

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