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PaDoc
Longin-Yu/PaDoc
PaDoc is a machine learning model from Longin-Yu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
<h1 align="center" PaDoc: Layout-Grounded Parallel Decoding for Document Parsing </h1
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At a glance
- License
- cc-by-nc-4.0
- Model type
- qwen3_vl
- Access
- Public
- Created
- Aug 6, 2026
- Updated
- Aug 7, 2026
- SHA
- d391f784
Model card
From the Hugging Face model README
<h1 align="center">
PaDoc: Layout-Grounded Parallel Decoding for Document Parsing
</h1>
<p align="center">
<a href="https://github.com/Longin-Yu/Padoc"><img src="https://img.shields.io/badge/GitHub-PaDoc-181717.svg?logo=github" alt="GitHub"></a>
<a href="https://arxiv.org/abs/2608.06146"><img src="https://img.shields.io/badge/arXiv-2608.06146-b31b1b.svg" alt="arXiv"></a>
<a href="https://huggingface.co/Longin-Yu/PaDoc"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model-yellow" alt="Hugging Face"></a>
</p>
PaDoc is an open-source implementation of tree-supervised training and fork-token decoding for document parsing. A single image-text model emits a compact main sequence and starts independent content branches at learned fork tokens. No draft model or additional prediction head is required.
For more details, refer to our github repo.
- Type
- qwen3_vl
- License
- cc-by-nc-4.0
- Created
- Aug 6, 2026
- Updated
- Aug 7, 2026