paper-with-me

Reading Order Detection

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Benchmarks

ROOR

결과 4개

ReadingBank

결과 2개

Most implemented

Papers

Institutional Newspapers Pipeline: Deriving billions of high quality tokens from historical newspapers

2026-08-19 · Matteo Cargnelutti, Catherine Brobston, Eben English, Jake Sadow 외 arxiv

Historical newspapers are an abundant record of public life, but their dense, irregular and sometimes noisy layouts make computational access to these materials both challenging and limited. We present the Institutional …

Reading Order Detection

FocalOrder: Focal Preference Optimization for Reading Order Detection

2026-01-12 · Fuyuan Liu, Dianyu Yu, He Ren, Nayu Liu 외 arxiv

Reading order detection is the foundation of document understanding. Most existing methods rely on uniform supervision, implicitly assuming a constant difficulty distribution across layout regions. In this work, we chall…

Reading Order Detection

DREAM: Document Reconstruction via End-to-end Autoregressive Model

2025-07-08 · Xin Li, Mingming Gong, Yunfei Wu, Jianxin Dai 외 arxiv

Document reconstruction constitutes a significant facet of document analysis and recognition, a field that has been progressively accruing interest within the scholarly community. A multitude of these researchers employ …

Document Layout AnalysisReading Order Detection

Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing

2025-06-01 · Baode Wang, Biao Wu, Weizhen Li, Meng Fang 외

Automated parsing of scanned documents into richly structured, machine-readable formats remains a critical bottleneck in Document AI, as traditional multi-stage pipelines suffer from error propagation and limited adaptab…

Document AIdocument understandingLanguage ModelingLanguage Modelling+4

Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding

2024-09-29 · Chong Zhang, Yi Tu, Yixi Zhao, Chenshu Yuan 외

Modeling and leveraging layout reading order in visually-rich documents (VrDs) is critical in document intelligence as it captures the rich structure semantics within documents. Previous works typically formulated layout…

document understandingEntity LinkingKey Information ExtractionReading Order Detection+2

Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction

2023-10-17 · Chong Zhang, Ya Guo, Yi Tu, Huan Chen 외

Recent advances in multimodal pre-trained models have significantly improved information extraction from visually-rich documents (VrDs), in which named entity recognition (NER) is treated as a sequence-labeling task of p…

Entity LinkingKey Information ExtractionKey-value Pair Extractionnamed-entity-recognition+9

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