- 🔥🔥 [2024.4.3] We build demos of DocOwl1.5 on both ModelScope
and HuggingFace 🤗, supported by the DocOwl1.5-Omni. - 🔥[2024.3.28] We release the training data (DocStruct4M, DocDownstream-1.0, DocReason25K), codes and models (DocOwl1.5-stage1, DocOwl1.5, DocOwl1.5-Chat, DocOwl1.5-Omni) of mPLUG-DocOwl 1.5 on both HuggingFace 🤗 and ModelScope .
- [2024.3.20] We release the arxiv paper of mPLUG-DocOwl 1.5, a SOTA 8B Multimodal LLM on OCR-free Document Understanding (DocVQA 82.2, InfoVQA 50.7, ChartQA 70.2, TextVQA 68.6).
- [2024.01.13] Our Scientific Diagram Analysis dataset M-Paper has been available on both HuggingFace 🤗 and ModelScope , containing 447k high-resolution diagram images and corresponding paragraph analysis.
- [2023.10.13] Training data, models of mPLUG-DocOwl/UReader has been open-soruced.
- [2023.10.10] Our paper UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model is accepted by EMNLP 2023.
- [2023.07.10] The demo of mPLUG-DocOwl on ModelScope is avaliable.
- [2023.07.07] We release the technical report and evaluation set of mPLUG-DocOwl.
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mPLUG-DocOwl1.5 (Arxiv 2024) - mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding
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mPLUG-PaperOwl (Arxiv 2023) - mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model
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UReader (EMNLP 2023) - UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model
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mPLUG-DocOwl (Arxiv 2023) - mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Note: The demo of HuggingFace is not as stable as ModelScope because the GPU in ZeroGPU Spaces of HuggingFace is dynamically assigned.
