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Who cites Jinyi Hu

569 citations of their works from 557 papers of our library (of the 149,439 whose bibliographies we read) · 180 with a page here, the most cited first · page 2 of 2 · 101–180 · ← Jinyi Hu

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  1. Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMsarXiv:2506.14731Ling Team, Bin Hu, Cai Chen, et al.2025 · 5 citations
  2. RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human FeedbackInternational Conference on Computational Linguistics (COLING)Guoqing Chen, Fu Zhang, Jinghao Lin, et al.2025 · 5 citations
  3. Teach Small Models to Reason by Curriculum DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Wangyi Jiang, Yaojie Lu, Hongyu Lin, et al.2025 · 5 citations
  4. Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical ReasoningFindings of the Association for Computational LinguisticsJun Rao, Xuebo Liu, Hexuan Deng, et al.2026 · 4 citations
  5. MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial ApplicationAnnual Meeting of the Association for Computational Linguistics (ACL)Xueqing Peng, Lingfei Qian, Yan Wang, et al.2026 · 4 citations
  6. ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token SelectionFindings of the Association for Computational LinguisticsTao Liu, Taiqiang Wu, Runming Yang, et al.2026 · 4 citations
  7. 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
  8. Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse RolloutsAnnual Meeting of the Association for Computational Linguistics (ACL)Sijia Luo, Xiaokang Zhang, Yuxuan Hu, et al.2026 · 4 citations
  9. Evaluating Numeracy of Language Models as a Natural Language Inference TaskFindings of the Association for Computational LinguisticsRahmad Mahendra, Damiano Spina, Lawrence Cavedon, et al.2025 · 4 citations
  10. Better LLM Reasoning via Dual-PlayFindings of the Association for Computational LinguisticsZhengxin Zhang, Chengyu Huang, Aochong Oliver Li, et al.2026 · 3 citations
  11. Beyond “I Don't Know”: Evaluating LLM Self-Awareness in Discriminating Data and Model UncertaintyAnnual Meeting of the Association for Computational Linguistics (ACL)Jingyi Ren, Ante Wang, Yunghwei Lai, et al.2026 · 3 citations
  12. Do Not Step Into the Same River Twice: Learning to Reason from Trial and ErrorAnnual Meeting of the Association for Computational Linguistics (ACL)Chenming Tang, Hsiu-Yuan Huang, Weijie Liu, et al.2026 · 3 citations
  13. Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Shuyao Xu, Cheng Peng, Jiangxuan Long, et al.2026 · 3 citations
  14. J4R: Learning to Judge with Equivalent Initial State Group Relative Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, et al.2026 · 3 citations
  15. Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Hao Gu, Hongming Piao, et al.2026 · 3 citations
  16. MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data SynthesisFindings of the Association for Computational LinguisticsZixiong Yu, Jun Rao, Guhan Chen, et al.2026 · 3 citations
  17. 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
  18. MERLIN: A Testbed for Multilingual Multimodal Entity Recognition and LinkingTransactions of the Association for Computational Linguistics (TACL)Sathyanarayanan Ramamoorthy, Vishwa Shah, Simran Khanuja, et al.2026 · 2 citations
  19. One Refiner to Unlock Them All: Inference-Time Reasoning Elicitation via Reinforcement Query RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Yixiao Zhou, Dongzhou Cheng, Zhiliang wu, et al.2026 · 2 citations
  20. Prune as You Generate: Online Rollout Pruning for Faster and Better RLVRAnnual Meeting of the Association for Computational Linguistics (ACL)Haobo Xu, Sirui Chen, Ruizhong Qiu, et al.2026 · 2 citations
  21. 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
  22. 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
  23. Compatibility-Aware Dynamic Fine-Tuning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yucheng Zhou, Junwei Sheng, Qianning Wang, et al.2026 · 1 citation
  24. Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Chuang Zhang, Zizhen Zhu, Yihao Wei, et al.2026 · 1 citation
  25. 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
  26. Hunyuan-A13B Technical ReportarXiv:2609.27284Tencent Hunyuan Team, Ao Liu, Botong Zhou, et al.2026 · 1 citation
  27. Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data SelectionFindings of the Association for Computational LinguisticsJoe Stacey, Lisa Alazraki, Aran Ubhi, et al.2026 · 1 citation
  28. Incentivizing Strong Reasoning from Weak SupervisionConference of the European Chapter of the Association for Computational Linguistics (EACL)Yige Yuan, Teng Xiao, Shuchang Tao, et al.2026 · 1 citation
  29. Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search TrajectoriesAnnual Meeting of the Association for Computational Linguistics (ACL)Peiyang Liu, Zhirui Chen, Xi Wang, et al.2026 · 1 citation
  30. LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?Annual Meeting of the Association for Computational Linguistics (ACL)Jingyuan Wang, Yankai Chen, Zhonghang Li, et al.2026 · 1 citation
  31. Mock Worlds, Real Skills: Building Small Agentic Language Models with Synthetic Tasks, Simulated Environments, and Rubric-Based RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanjie Lyu, Chengyu Wang, Lei Shen, et al.2026 · 1 citation
  32. 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
  33. Orchestrating Tokens and Sequences: Dynamic Hybrid Policy Optimization for RLVRFindings of the Association for Computational LinguisticsZijun Min, Bingshuai Liu, Ante Wang, et al.2026 · 1 citation
  34. Rectified Sparse Attention for Efficient Long-Sequence GenerationFindings of the Association for Computational LinguisticsYutao Sun, Tianzhu Ye, Li Dong, et al.2026 · 1 citation
  35. When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Xiang, Yixin Ji, Ruotao Xu, et al.2026 · 1 citation
  36. A Survey of Large Language Model-Based Search AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunjia Xi, Jianghao Lin, Yongzhao Xiao, et al.2026
  37. A Survey of Large Models in SportsFindings of the Association for Computational LinguisticsYichen Xu, Jianzhe Ma, Chuhan Wang, et al.2026
  38. A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Yang, Sihong Wu, Yilun Zhao, et al.2026
  39. AlgBench: To What Extent Do Large Reasoning Models Understand Algorithms?Findings of the Association for Computational LinguisticsHenan Sun, Kaichi Yu, Yuyao Wang, et al.2026
  40. B-APO: Bias-Targeted Adversarial Preference Optimization for Debiasing Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsPinlong Zhao, Zike Ding, Zengshu Ye, et al.2026
  41. Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Minzheng Wang, Run Luo, Yanbo Wang, et al.2026
  42. Calibration-Aware Policy Optimization for Reasoning LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqi Wang, Xingzhou Lou, Meiqi Wu, et al.2026
  43. CLARO: Controlled Attribute-Driven Reasoning Optimization for Efficient Chain-of-ThoughtFindings of the Association for Computational LinguisticsOded Schlesinger, Young Kyung Kim, J. Matias Di Martino, et al.2026
  44. 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
  45. 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
  46. Curing Miracle Steps in LLM Mathematical Reasoning with Rubric RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Youliang Yuan, Qiuyang Mang, Jingbang Chen, et al.2026
  47. 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
  48. DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsHao Yang, Jin Wang, Xuejie Zhang2026
  49. Exploration-Exploitation Reshaping towards Efficient Reasoning for Large Language ModelsFindings of the Association for Computational LinguisticsYufeng Shi, Weilin Luo, Yuxiang Zhang, et al.2026
  50. Fixing Semantic Blind Spots in Anchor Tokens of dMLLMsFindings of the Association for Computational LinguisticsRuixuan Xu, Jiexi Xu, Qiyan Zhao, et al.2026
  51. From Tokens to Steps: Verification-Aware Speculative Decoding for Efficient Multi-Step ReasoningFindings of the Association for Computational LinguisticsKiran Purohit, Ramasuri Narayanam, Soumyabrata Pal2026
  52. GeometryZero: Advancing Geometry Solving via Group Contrastive Policy OptimizationFindings of the Association for Computational LinguisticsYikun Wang, Yibin Wang, Dianyi Wang, et al.2026
  53. Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal LanguageFindings of the Association for Computational LinguisticsPeijie Wang, Ming-Liang Zhang, Jun Cao, et al.2026
  54. GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiwen Ruan, Yichao Du, Jianjie Zheng, et al.2026
  55. Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement LearningFindings of the Association for Computational LinguisticsTiehua Mei, Minxuan Lv, Leiyu Pan, et al.2026
  56. 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
  57. Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain GeneralizationAnnual Meeting of the Association for Computational Linguistics (ACL)Tian Xueyun, MingHua Ma, Bingbing Xu, et al.2026
  58. Learning to Refine: Self-Refinement of Parallel Reasoning in LLMsFindings of the Association for Computational LinguisticsQibin Wang, Pu Zhao, Shaohan Huang, et al.2026
  59. MAXS: Meta-Adaptive Exploration with LLM AgentsFindings of the Association for Computational LinguisticsJian Zhang, Zhiyuan Wang, Zhangqi Wang, et al.2026
  60. Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenxin Qin, Qiang Li, Qingzhuo Wang, et al.2026
  61. mSCoRe: A Multilingual and Scalable Benchmark for Skill-based Commonsense ReasoningLanguage Resources and Evaluation Conference (LREC)Nghia Trung Ngo, Franck Dernoncourt, Thien Huu Nguyen2026
  62. MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangyu Zhao, Wanghan Xu, Bo Liu, et al.2026
  63. Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential TomorrowFindings of the Association for Computational LinguisticsYangyang Zhong, Yanmei Gu, Zhengqing Zang, et al.2026
  64. PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable DataFindings of the Association for Computational LinguisticsKai Xiong, Yanwei Huang, Rongjunchen Zhang, et al.2026
  65. PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language ModelsFindings of the Association for Computational LinguisticsZetian Ouyang, Linlin Wang, Gerard de Melo, et al.2026
  66. ReActR: Reasoning through Error-Activated Reflection for LLM Post-TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Lina Sun2026
  67. RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function LibraryFindings of the Association for Computational LinguisticsJiapeng Wang, Jinhao Jiang, Zhiqiang Zhang, et al.2026
  68. S2H-DPO: Hardness-Aware Preference Optimization for Vision–Language ModelsFindings of the Association for Computational LinguisticsNitish Shukla, Surgan Jandial, Arun Ross2026
  69. SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual ScenesAnnual Meeting of the Association for Computational Linguistics (ACL)Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, et al.2026
  70. SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and ColloquialnessAnnual Meeting of the Association for Computational Linguistics (ACL)Jingyu Lu, Yuhan Wang, Fan Zhuo, et al.2026
  71. 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
  72. SimpleOCR: Rendering Visual Questions to Teach MLLMs to ReadFindings of the Association for Computational LinguisticsYibo Peng, Peng Xia, Ding Zhong, et al.2026
  73. Skill-Aware Data Selection and Fine-Tuning for Data-Efficient Reasoning DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Lechen Zhang, Yunxiang Zhang, Wei Hu, et al.2026
  74. Student Guides Teacher: Weak-to-Strong Inference via Spectral Orthogonal ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Dayu Wang, Jiaye Yang, Weikang Li, et al.2026
  75. 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
  76. TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Sitong Wu, Haoru Tan, Xichen Zhang, et al.2026
  77. Triviality Corrected Endogenous RewardAnnual Meeting of the Association for Computational Linguistics (ACL)Xinda Wang, Zhengxu Hou, Yangshijie Zhang, et al.2026
  78. 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
  79. ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language ModelsLanguage Resources and Evaluation Conference (LREC)Duy Vu Minh Nguyen, Chinh Thanh Truong, Trần Hoàng Phúc, et al.2026
  80. When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math ReasoningFindings of the Association for Computational LinguisticsRuotao Xu, Yixin Ji, Yu Luo, et al.2026

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