🧑‍🔬 Who cites Yinxiao Liu

219 citations of their works from 214 papers of our library (of the 149,439 whose bibliographies we read) · 87 with a page here, the most cited first · ← Yinxiao Liu

1. Phi-4 Technical ReportarXiv:2412.08905Marah Abdin, Jyoti Aneja, Harkirat Behl, et al.2024 · 502 citations
2. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsarXiv:2504.10479Jinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 216 citations
3. 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 · 192 citations
4. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelarXiv:2502.02737Loubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 181 citations
5. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
6. 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
7. Improve Mathematical Reasoning in Language Models by Automated Process SupervisionarXiv:2406.06592Liangchen Luo, Yinxiao Liu, Rosanne Liu, et al.2024 · 168 citations
8. The Lessons of Developing Process Reward Models in Mathematical ReasoningFindings of the Association for Computational LinguisticsZhenru Zhang, Chujie Zheng, Yangzhen Wu, et al.2025 · 161 citations
9. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
10. Generative Verifiers: Reward Modeling as Next-Token PredictionarXiv:2408.15240Lunjun Zhang, Arian Hosseini, Hritik Bansal, et al.2024 · 152 citations
11. rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep ThinkingarXiv:2501.04519Xinyu Guan, Li Lyna Zhang, Yifei Liu, et al.2025 · 146 citations
12. MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackarXiv:2309.10691Xingyao Wang, Zihan Wang, Jiateng Liu, et al.2023 · 141 citations
13. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsarXiv:2503.01307Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 123 citations
14. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language ModelsarXiv:2501.09686Fengli Xu, Qianyue Hao, Zefang Zong, et al.2025 · 120 citations
15. ProcessBench: Identifying Process Errors in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chujie Zheng, Zhenru Zhang, Beichen Zhang, et al.2025 · 116 citations
16. Statistical Rejection Sampling Improves Preference OptimizationarXiv:2309.06657Tianqi Liu, Yao Zhao, Rishabh Joshi, et al.2023 · 105 citations
17. JudgeBench: A Benchmark for Evaluating LLM-based JudgesarXiv:2410.12784Sijun Tan, Siyuan Zhuang, Kyle Montgomery, et al.2024 · 101 citations
18. Rewarding Progress: Scaling Automated Process Verifiers for LLM ReasoningarXiv:2410.08146Amrith Setlur, Chirag Nagpal, Adam Fisch, et al.2024 · 93 citations
19. O1 Replication Journey: A Strategic Progress Report — Part 1arXiv:2410.18982Yiwei Qin, Xuefeng Li, Haoyang Zou, et al.2024 · 86 citations
20. 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
21. The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-DeterminismConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yifan Song, Guoyin Wang, Sujian Li, et al.2025 · 64 citations
22. VinePPO: Refining Credit Assignment in RL Training of LLMsarXiv:2410.01679Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, et al.2024 · 63 citations
23. Free Process Rewards without Process LabelsarXiv:2412.01981Lifan Yuan, Wendi Li, Huayu Chen, et al.2024 · 58 citations
24. OpenR: An Open Source Framework for Advanced Reasoning with Large Language ModelsarXiv:2410.09671Jun Wang, Meng Fang, Ziyu Wan, et al.2024 · 50 citations
25. LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical ReasoningarXiv:2410.02884Di Zhang, Jianbo Wu, Jingdi Lei, et al.2024 · 49 citations
26. Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process SupervisionFindings of the Association for Computational LinguisticsZihan Wang, Yunxuan Li, Yuexin Wu, et al.2024 · 43 citations
27. Improving Chain-of-Thought Reasoning via Quasi-Symbolic AbstractionsAnnual Meeting of the Association for Computational Linguistics (ACL)Leonardo Ranaldi, Marco Valentino, Andre Freitas2025 · 42 citations
28. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingarXiv:2502.06703Runze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
29. DeepSeek: Paradigm Shifts and Technical Evolution in Large AI ModelsarXiv:2507.09955Luolin Xiong, Haofen Wang, Xi Chen, et al.2025 · 41 citations
30. DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language ModelsarXiv:2411.00836Chengke Zou, Xingang Guo, Rui Yang, et al.2024 · 41 citations
31. A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic SystemsarXiv:2504.09037Zixuan Ke, Fangkai Jiao, Yifei Ming, et al.2025 · 39 citations
32. Self-Distilled RLVRarXiv:2604.03128Chenxu Yang, Chuanyu Qin, Qingyi Si, et al.2026 · 37 citations
33. AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward ModelingFindings of the Association for Computational LinguisticsZihan Liu, Yang Chen, Mohammad Shoeybi, et al.2025 · 37 citations
34. LiPO: Listwise Preference Optimization through Learning-to-RankConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tianqi Liu, Zhen Qin, Junru Wu, et al.2025 · 31 citations
35. Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?Annual Meeting of the Association for Computational Linguistics (ACL)Yancheng He, Shilong Li, Jiaheng Liu, et al.2025 · 30 citations
36. A Survey on Large Language Models for Mathematical ReasoningACM Computing SurveysPeng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang, et al.2025 · 26 citations
37. S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Ruotian Ma, Peisong Wang, Cheng Liu, et al.2025 · 26 citations
38. TreeRL: LLM Reinforcement Learning with On-Policy Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenyu Hou, Ziniu Hu, Yujiang Li, et al.2025 · 26 citations
39. Aligning LLMs with Individual Preferences via InteractionInternational Conference on Computational Linguistics (COLING)Shujin Wu, Yi R. Fung, Cheng Qian, et al.2025 · 24 citations
40. Linguistic Generalizability of Test-Time Scaling in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Guijin Son, Jiwoo Hong, Hyunwoo Ko, et al.2025 · 24 citations
41. ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process RewardingInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Zhongxiang Sun, Qipeng Wang, Weijie Yu, et al.2025 · 22 citations
42. A Survey of Post-Training Scaling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hanyu Lai, Xiao Liu, Junjie Gao, et al.2025 · 18 citations
43. R-PRM: Reasoning-Driven Process Reward ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Shuaijie She, Junxiao Liu, Yifeng Liu, et al.2025 · 18 citations
44. Entropy-Regularized Process Reward ModelarXiv:2412.11006Hanning Zhang, Pengcheng Wang, Shizhe Diao, et al.2024 · 17 citations
45. Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zeping Yu, Yonatan Belinkov, Sophia Ananiadou2025 · 16 citations
46. 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
47. 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
48. CodePRM: Execution Feedback-enhanced Process Reward Model for Code GenerationFindings of the Association for Computational LinguisticsQingyao Li, Xinyi Dai, Xiangyang Li, et al.2025 · 15 citations
49. CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Joshua Ong Jun Leang, Aryo Pradipta Gema, Shay B. Cohen2025 · 14 citations
50. 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
51. Process Supervision-Guided Policy Optimization for Code GenerationarXiv:2410.17621Ning Dai, Zheng Wu, Renjie Zheng, et al.2024 · 12 citations
52. Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language ModelsFindings of the Association for Computational LinguisticsTeng Wang, Jiang Zhangyi, Zhenqi He, et al.2026 · 10 citations
53. An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Sun, Qianlong Du, Fuwei Cui, et al.2025 · 10 citations
54. Progressive Multimodal Reasoning via Active RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Guanting Dong, Chenghao Zhang, Mengjie Deng, et al.2025 · 10 citations
55. MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyuan Li, Keqin Bao, Yubo Ma, et al.2026 · 9 citations
56. Examining False Positives under Inference Scaling for Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Yu Wang, Nan Yang, Liang Wang, et al.2025 · 9 citations
57. Theorem Prover as a Judge for Synthetic Data GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Joshua Ong Jun Leang, Giwon Hong, Wenda Li, et al.2025 · 9 citations
58. Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier EngineeringarXiv:2411.11504Xinyan Guan, Yanjiang Liu, Xinyu Lu, et al.2024 · 9 citations
59. Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer ModelsarXiv:2501.02599Jalisha Jashim Era, Bidyarthi Paul, Tahmid Sattar Aothoi, et al.2025 · 8 citations
60. FastMCTS: A Simple Sampling Strategy for Data SynthesisAnnual Meeting of the Association for Computational Linguistics (ACL)Peiji Li, Kai Lv, Yunfan Shao, et al.2025 · 8 citations
61. Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Huifeng Yin, Yu Zhao, Minghao Wu, et al.2025 · 8 citations
62. A Survey on Feedback-based Multi-step Reasoning for Large Language Models on MathematicsarXiv:2502.14333Ting-Ruen Wei, Haowei Liu, Xuyang Wu, et al.2025 · 7 citations
63. Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Siheng Xiong, Ali Payani, Yuan Yang, et al.2025 · 7 citations
64. Self-Distilled Policy GradientarXiv:2606.04036Yifeng Liu, Shiyuan Zhang, Yifan Zhang, et al.2026 · 5 citations
65. RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguardsarXiv:2506.07736 · 39th Conference on Neural Information Processing Systems (NeurIPS 2025). 39th Conference on Neural Information Processing Systems (NeurIPS 2025). 39th Conference on Neural Information Processing Systems (NeurIPS 2025)Jingnan Zheng, Xiangtian Ji, Yijun Lu, et al.2025 · 5 citations
66. DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree TraversalAnnual Meeting of the Association for Computational Linguistics (ACL)Vaibhav Aggarwal, Ojasv Kamal, Abhinav Japesh, et al.2025 · 4 citations
67. GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical ReasoningWorkshop on Advances in Language and Vision Research (ALVR)Jianghangfan Zhang, Yibo Yan, Kening Zheng, et al.2026 · 2 citations
68. Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier MathAnnual Meeting of the Association for Computational Linguistics (ACL)Shrey Pandit, Austin Xu, Xuan-Phi Nguyen, et al.2026 · 2 citations
69. K-Merge: Online Continual Merging of Adapters for On-device Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Donald Shenaj, Ondrej Bohdal, Taha Ceritli, et al.2026 · 2 citations
70. CIS-RG at QIAS 2025 Shared Task: Approaches for Enhancing Performance of LLM on Islamic Legal Reasoning and its Mathematical CalculationsArabic Natural Language Processing Conference (ArabicNLP)Farouk Zaki, Osama2025 · 2 citations
71. Intention-Adaptive LLM Fine-Tuning for Text Revision GenerationFindings of the Association for Computational LinguisticsZhexiong Liu, Diane Litman2026 · 1 citation
72. Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Raffaele Pisano, Roberto Navigli2026 · 1 citation
73. ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, et al.2026 · 1 citation
74. The Bidirectional Process Reward ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Lingyin Zhang, Jun Gao, Xiaoxue Ren, et al.2026 · 1 citation
75. A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and UsageAnnual Meeting of the Association for Computational Linguistics (ACL)Congmin Zheng, Jiachen Zhu, Zhuoying Ou, et al.2026
76. Advancing Reasoning in Diffusion Language Models with Denoising Process RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaoan Xie, Lingjing Kong, Xiangchen Song, et al.2026
77. Automated Reformulation of Argumentative Essays to Improve Argument Organization and DevelopmentInternational Conference on Computational Processing of PortugueseNaomi James Sutcliffe de Moraes, Denis Deratani Mauá2026
78. CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical ReasoningFindings of the Association for Computational LinguisticsZhuo Wang, Zhuo Zhang, Yafu Li, et al.2026
79. From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Zhan, Xiaoyu Tan, Gengchen Ma, et al.2026
80. HyperEdit: Unlocking Instruction-based Text Editing in LLMs via HypernetworksFindings of the Association for Computational LinguisticsYiming Zeng, Jinghan Cao, Zexin Li, et al.2026
81. LeakDojo: Decoding the Leakage Threats of RAG SystemsFindings of the Association for Computational LinguisticsMaosen Zhang, Jianshuo Dong, Lu Boting, et al.2026
82. Pause or Fabricate? Training Language Models for Grounded ReasoningFindings of the Association for Computational LinguisticsYiwen Qiu, Linjuan Wu, Yizhou Liu, et al.2026
83. Teaching LLMs Human-Like Editing of Inappropriate Argumentation via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Timon Ziegenbein, Maja Stahl, Henning Wachsmuth2026
84. 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
85. ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Vladislav Smirnov, Quang-Chieu Nguyen, Sergey Senichev, et al.2026
86. Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Xu, Rite Bo, Fausto Giunchiglia, et al.2026
87. Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-AuditingAnnual Meeting of the Association for Computational Linguistics (ACL)Wenhao Yuan, Chenchen Lin, Jian Chen, et al.2026

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