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PaDoc parser enables parallel document analysis, boosting speed and accuracy

By PulseAugur Editorial · [3 sources] ·

Researchers have developed PaDoc, a novel layout-grounded parser designed to improve the efficiency of document parsing. Unlike traditional end-to-end parsers that serialize content sequentially, PaDoc treats the document layout as a branching structure over a shared representation. This allows for parallel decoding of regional content, significantly reducing processing depth and increasing speed. PaDoc achieves high accuracy on the OmniDocBench Full benchmark, outperforming other end-to-end parsers in text editing and formula recognition, while also demonstrating superior throughput and reduced latency on large documents. AI

IMPACT This parallel decoding approach could significantly speed up document processing in AI systems, enabling faster information extraction and analysis.

RANK_REASON The cluster describes a new research paper detailing a novel method for document parsing.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

PaDoc parser enables parallel document analysis, boosting speed and accuracy

COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · Hao Yu, Jiabo Zhan, Kang Liu, Linnan Zhao, Dongxu Yue, Rui Chen, Jinglin Wang, Chong Sun, Chen Li, Jing Lyu, Chun Yuan ·

    PaDoc: Layout-Grounded Parallel Decoding for Document Parsing

    arXiv:2608.06146v1 Announce Type: new Abstract: End-to-end document parsers provide a unified interface, but serialize page layouts and regional contents into one autoregressive sequence. This formulation forces independent regions onto a decoding path whose length grows with the…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    PaDoc: Layout-Grounded Parallel Decoding for Document Parsing

    End-to-end document parsers provide a unified interface, but serialize page layouts and regional contents into one autoregressive sequence. This formulation forces independent regions onto a decoding path whose length grows with the total content, whereas crop-based two-stage par…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    PaDoc: Layout-Grounded Parallel Decoding for Document Parsing

    End-to-end document parsers provide a unified interface, but serialize page layouts and regional contents into one autoregressive sequence. This formulation forces independent regions onto a decoding path whose length grows with the total content, whereas crop-based two-stage par…

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