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document understanding

Document understanding involves document classification, layout analysis, information extraction, and DocQA.

Papers

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Showing 51–100 of 309 papers

TitleStatusHype
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language ModelsCode1
Document Understanding Dataset and Evaluation (DUDE)Code1
LineFormer: Rethinking Line Chart Data Extraction as Instance SegmentationCode1
CCpdf: Building a High Quality Corpus for Visually Rich Documents from Web Crawl DataCode1
M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout AnalysisCode1
On Web-based Visual Corpus Construction for Visual Document UnderstandingCode1
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document UnderstandingCode1
DocQueryNet: Value Retrieval with Arbitrary Queries for Form-like DocumentsCode1
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural NetworksCode1
End-to-end Document Recognition and Understanding with DessurtCode1
Multimodal Pre-training Based on Graph Attention Network for Document UnderstandingCode1
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document UnderstandingCode1
Value Retrieval with Arbitrary Queries for Form-like DocumentsCode1
DocFormer: End-to-End Transformer for Document UnderstandingCode1
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document UnderstandingCode1
Going Full-TILT Boogie on Document Understanding with Text-Image-Layout TransformerCode1
Towards Robust Visual Information Extraction in Real World: New Dataset and Novel SolutionCode1
A Discrete Variational Recurrent Topic Model without the Reparametrization TrickCode1
MedICaT: A Dataset of Medical Images, Captions, and Textual ReferencesCode1
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends—0
PaddleOCR 3.0 Technical ReportCode0
Class-Agnostic Region-of-Interest Matching in Document ImagesCode0
DrishtiKon: Multi-Granular Visual Grounding for Text-Rich Document ImagesCode0
Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models—0
PP-DocBee2: Improved Baselines with Efficient Data for Multimodal Document UnderstandingCode0
WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts—0
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning—0
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions—0
Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document ParsingCode0
MT^3: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning—0
Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning—0
Doc-CoB: Enhancing Multi-Modal Document Understanding with Visual Chain-of-Boxes Reasoning—0
The Hidden Structure -- Improving Legal Document Understanding Through Explicit Text Formatting—0
WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild?—0
Document Image Rectification Bases on Self-Adaptive Multitask Fusion—0
Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer—0
Evaluating Menu OCR and Translation: A Benchmark for Aligning Human and Automated Evaluations in Large Vision-Language ModelsCode0
Relation-Rich Visual Document Generator for Visual Information ExtractionCode0
NoTeS-Bank: Benchmarking Neural Transcription and Search for Scientific Notes Understanding—0
QID: Efficient Query-Informed ViTs in Data-Scarce Regimes for OCR-free Visual Document Understanding—0
How does Watermarking Affect Visual Language Models in Document Understanding?—0
Improving Applicability of Deep Learning based Token Classification models during Training—0
M-DocSum: Do LVLMs Genuinely Comprehend Interleaved Image-Text in Document Summarization?Code0
BiblioPage: A Dataset of Scanned Title Pages for Bibliographic Metadata ExtractionCode0
SFDLA: Source-Free Document Layout AnalysisCode0
A Simple yet Effective Layout Token in Large Language Models for Document Understanding—0
Marten: Visual Question Answering with Mask Generation for Multi-modal Document UnderstandingCode0
PP-DocBee: Improving Multimodal Document Understanding Through a Bag of TricksCode0
A Token-level Text Image Foundation Model for Document Understanding—0
Zero-Shot Complex Question-Answering on Long Scientific DocumentsCode0
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