🔗 Who cites «mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding»

54 papers of our library cite it (of the 141,840 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding»

1. 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 · 529 citations
2. 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 · 276 citations
3. What matters when building vision-language models?Conference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 195 citations
4. 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 · 184 citations
5. Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown ExtractionarXiv:2411.17835Mohamed Rashad2024 · 5 citations
6. Evaluating Multimodal Large Language Models on Vertically Written Japanese TextLanguage Resources and Evaluation Conference (LREC)Keito Sasagawa, Shuhei Kurita, Daisuke Kawahara2026 · 3 citations

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

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