🔗 Who cites «VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model»

66 papers of our library cite it (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · ← back to «VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model»

1. 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 · 216 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. ToolRL: Reward is All Tool Learning NeedsarXiv:2504.13958Cheng Qian, Emre Can Acikgoz, Qi He, et al.2025 · 94 citations
4. SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language ModelsarXiv:2504.11468Hardy Chen, Haoqin Tu, Fali Wang, et al.2025 · 37 citations
5. R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning LearningTransactions of the Association for Computational Linguistics (TACL)Minggui He, Yilun Liu, Shimin Tao, et al.2026 · 22 citations
6. Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM ReasoningarXiv:2505.15154Jinghui Lu, Haiyang Yu, Siliang Xu, et al.2025 · 11 citations
7. 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
8. AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph ConstructionAnnual Meeting of the Association for Computational Linguistics (ACL)Hong Ting Tsang, Jiaxin Bai, Haoyu Huang, et al.2026 · 4 citations
9. 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
10. AdaTooler-V: Adaptive Tool-Use for Images and VideosFindings of the Association for Computational LinguisticsChaoyang Wang, Kaituo Feng, Dongyang Chen, et al.2026 · 2 citations
11. Timely Machine: Awareness of Time Makes Test-Time Scaling AgenticAnnual Meeting of the Association for Computational Linguistics (ACL)Yichuan Ma, Linyang Li, Yongkang Chen, et al.2026 · 2 citations
12. 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
13. Inferring Events from Time Series using Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingtian Tan, Mike A Merrill, Zachary Gottesman, et al.2026 · 1 citation
14. 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
15. BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yue Wang, Ruotian Ma, Xingyu Chen, et al.2026
16. ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language UnderstandingFindings of the Association for Computational LinguisticsXuanle Zhao, Xinyuan Cai, Xiang Cheng, et al.2026
17. Multimodal LLMs Do Not Compose Skills Optimally across ModalitiesLanguage Resources and Evaluation Conference (LREC)Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune2026
18. On-policy Reinforcement Fine-tuning with Offline reward for Multi-step Embodied PlanningAnnual Meeting of the Association for Computational Linguistics (ACL)Di Wu, Jiaxin Fan, Chloe Gu, et al.2026
19. 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
20. UniCM: A Unified Consistency Model For Efficient Multimodal Generation and UnderstandingFindings of the Association for Computational LinguisticsChenkai Xu, Xu Wang, Zhenyi Liao, et al.2026

46 more papers of our library cite it; they have no page here yet.

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