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document understanding

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

Papers

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Showing 1–50 of 309 papers

TitleStatusHype
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends—0
PaddleOCR 3.0 Technical ReportCode0
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement LearningCode7
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
SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative RefinementCode1
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions—0
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning—0
Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document ParsingCode0
LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real WorldCode1
Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning—0
MT^3: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning—0
Doc-CoB: Enhancing Multi-Modal Document Understanding with Visual Chain-of-Boxes Reasoning—0
ARB: A Comprehensive Arabic Multimodal Reasoning BenchmarkCode1
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
Adaptive Markup Language Generation for Contextually-Grounded Visual Document UnderstandingCode1
Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer—0
FRAG: Frame Selection Augmented Generation for Long Video and Long Document UnderstandingCode1
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
MDocAgent: A Multi-Modal Multi-Agent Framework for Document UnderstandingCode3
Marten: Visual Question Answering with Mask Generation for Multi-modal Document UnderstandingCode0
PP-DocBee: Improving Multimodal Document Understanding Through a Bag of TricksCode0
Zero-Shot Complex Question-Answering on Long Scientific DocumentsCode0
A Token-level Text Image Foundation Model for Document Understanding—0
Shakti-VLMs: Scalable Vision-Language Models for Enterprise AI—0
OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language ModelsCode0
KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding—0
Qwen2.5-VL Technical ReportCode11
Assessing Generative AI value in a public sector context: evidence from a field experiment—0
DocMIA: Document-Level Membership Inference Attacks against DocVQA ModelsCode0
AIN: The Arabic INclusive Large Multimodal ModelCode2
Ocean-OCR: Towards General OCR Application via a Vision-Language ModelCode1
HERITAGE: An End-to-End Web Platform for Processing Korean Historical Documents in HanjaCode0
BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations—0
Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends—0
Docopilot: Improving Multimodal Models for Document-Level UnderstandingCode1
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