🔗 Who cites «InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD»

38 papers of our library cite it (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · ← back to «InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD»

1. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your PhonearXiv:2404.14219Marah Abdin, Jyoti Aneja, Hany Awadalla, et al.2024 · 1,134 citations
2. How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source SuitesScience China Information SciencesZhe Chen, Weiyun Wang, Hao Tian, et al.2024 · 541 citations
3. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsScience China Information SciencesYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 306 citations
4. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 287 citations
5. MiniCPM-V: A GPT-4V Level MLLM on Your PhonearXiv:2408.01800Yuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 269 citations
6. 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
7. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 216 citations
8. PaliGemma: A versatile 3B VLM for transferarXiv:2407.07726Lucas Beyer, Andreas Steiner, Andre Susano Pinto, et al.2024 · 142 citations
9. CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMsConference on Neural Information Processing Systems (NeurIPS)Zirui Wang, Mengzhou Xia, Luxi He, et al.2024 · 119 citations
10. LMMs-Eval: Reality Check on the Evaluation of Large Multimodal ModelsFindings of the Association for Computational LinguisticsKaichen Zhang, Bo Li, Peiyuan Zhang, et al.2025 · 115 citations
11. MMLongBench-Doc: Benchmarking Long-context Document Understanding with VisualizationsConference on Neural Information Processing Systems (NeurIPS)Yubo Ma, Yuhang Zang, Liangyu Chen, et al.2024 · 92 citations
12. Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI AgentsarXiv:2410.05243Boyu Gou, Ruohan Wang, Boyuan Zheng, et al.2024 · 74 citations
13. mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Anwen Hu, Haiyang Xu, Liang Zhang, et al.2025 · 62 citations
14. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
15. InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputarXiv:2407.03320Pan Zhang, Xiaoyi Dong, Yuhang Zang, et al.2024 · 39 citations
16. LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and LocatingAnnual Meeting of the Association for Computational Linguistics (ACL)Chao Deng, Jiale Yuan, Pi Bu, et al.2025 · 30 citations
17. OmniBench: Towards The Future of Universal Omni-Language ModelsConference on Neural Information Processing Systems (NeurIPS)Yizhi Li, Yinghao Ma, Ge Zhang, et al.2024 · 17 citations
18. Autoregressive Semantic Visual Reconstruction Helps VLMs Understand BetterFindings of the Association for Computational LinguisticsDianyi Wang, Wei Song, Yikun Wang, et al.2026 · 7 citations
19. Evaluating Multimodal Large Language Models on Vertically Written Japanese TextLanguage Resources and Evaluation Conference (LREC)Keito Sasagawa, Shuhei Kurita, Daisuke Kawahara2026 · 3 citations
20. Unveiling Inherent Visual Grounding in Multimodal LLMs for Text-Rich ImagesFindings of the Association for Computational LinguisticsShijie Zhou, Jihyung Kil, Ming Li, et al.2026
21. -SEA³-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer GenerationArabic Natural Language Processing Conference (ArabicNLP)Kesen Wang, Daulet Toibazar, Pedro J Moreno Mengibar2025

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

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