🔗 Who cites «Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces»

68 papers of our library cite it (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← back to «Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces»

1. Qwen3-VL Technical ReportarXiv:2511.21631Shuai Bai, Yuxuan Cai, Ruizhe Chen, et al.2025 · 370 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. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
4. SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-trainingarXiv:2501.17161Tianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.2025 · 160 citations
5. Kimi-VL Technical ReportarXiv:2504.07491Kimi Team, Angang Du, Bohong Yin, et al.2025 · 70 citations
6. NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Luo, Wentao Yan, Jingyu Gong, et al.2026 · 3 citations
7. 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
8. CityCube: Benchmarking Cross-view Spatial Reasoning on Vision-Language Models in Urban EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Haotian Xu, Yue Hu, Zhengqiu Zhu, et al.2026 · 1 citation
9. VLN-NF: Feasibility-Aware Vision-and-Language Navigation with False-Premise InstructionsAnnual Meeting of the Association for Computational Linguistics (ACL)Hung-Ting Su, Ting-Jun Wang, Jia-Fong Yeh, et al.2026 · 1 citation
10. When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily LifeFindings of the Association for Computational LinguisticsXinyue Lou, Xu Jinan, Jingyi Yin, et al.2026 · 1 citation
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. Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahuan Zhang, Shunwen Bai, Tianheng Wang, et al.2026
13. Can LLMs Learn to Map the World from Local Descriptions?Annual Meeting of the Association for Computational Linguistics (ACL)Sirui Xia, Aili Chen, Xintao Wang, et al.2026
14. E-ViC: Reasoning Beyond Text via Embodied Visual Chain for Spatial IntelligenceAnnual Meeting of the Association for Computational Linguistics (ACL)Junbo Qi, Yi Zhang, Hanchu Ni, et al.2026
15. GraphMind: LLMs as Dynamic Knowledge Builders for Sequential Decision-MakingFindings of the Association for Computational LinguisticsSunguk Shin, Hayeong Lee, Jun Ho Seo, et al.2026
16. How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability StudyAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Yang, Ping Jian, Zhongbin Guo, et al.2026
17. 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
18. VLN-MME: Diagnosing MLLMs as Language-guided Visual Navigation AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Xunyi Zhao, Gengze Zhou, Qi Wu2026

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