🔗 Who cites «MiMo-VL Technical Report»

33 papers of our library cite it (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · ← back to «MiMo-VL Technical Report»

1. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
2. 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 · 89 citations
3. Skywork-R1V3 Technical ReportarXiv:2507.06167Wei Shen, Jiangbo Pei, Yi Peng, et al.2025 · 6 citations
4. From Charts to Code: A Hierarchical Benchmark for Multimodal ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahao Tang, Henry Hengyuan Zhao, Lijian Wu, et al.2026 · 3 citations
5. SafeMT: Multi-turn Safety for Multimodal Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Han Zhu, Juntao Dai, Jiaming Ji, et al.2026 · 3 citations
6. DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Dawei Zhu, Rui Meng, Jiefeng Chen, et al.2026 · 2 citations
7. STEP3-VL-10B Technical ReportarXiv:2601.09668Ailin Huang, Chengyuan Yao, Chunrui Han, et al.2026 · 2 citations
8. KidsArtBench: Multi-Dimensional Children's Art Evaluation with Attribute-Aware MLLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Mingrui Ye, Chanjin Zheng, Zengyi Yu, et al.2026 · 1 citation
9. A Cascade Reinforcement Learning Strategy for Efficiently Enhancing the Reasoning Ability of Multimodal Large Language Models (高效提升多模态大语言模型推理能力的级联强化学习策略)Acta Automatica Sinica (自动化学报)Weiyun Wang (王玮赟), Hengjun Pu (蒲恒骏), Linglin Jing (景凌林), et al.2026
10. ARM2: Adaptive Reasoning Model with Vision Understanding and Executable CodeFindings of the Association for Computational LinguisticsJian Xie, Zhendong Chu, Aoxiao Zhong, et al.2026
11. ArrowGEV: Grounding Events in Video via Learning the Arrow of TimeFindings of the Association for Computational LinguisticsFangxu Yu, Ziyao Lu, Liqiang Niu, et al.2026
12. 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
13. Beyond Unimodal Shortcuts: MLLMs as Cross-Modal Reasoners for Grounded Named Entity RecognitionFindings of the Association for Computational LinguisticsJinlong Ma, Yu Zhang, Xuefeng Bai, et al.2026
14. ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language UnderstandingFindings of the Association for Computational LinguisticsXuanle Zhao, Xinyuan Cai, Xiang Cheng, et al.2026
15. When Seeing Is not Enough: Revealing the Limits of Active Reasoning in MLLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongcheng Liu, Pingjie Wang, Yuhao Wang, et al.2026

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

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