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document understanding
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Document understanding involves document classification, layout analysis, information extraction, and DocQA.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
PaddleOCR 3.0 Technical Report
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Class-Agnostic Region-of-Interest Matching in Document Images
DrishtiKon: Multi-Granular Visual Grounding for Text-Rich Document Images
Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models
PP-DocBee2: Improved Baselines with Efficient Data for Multimodal Document Understanding
WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts
SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning
LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real World
Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing
Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning
MT$^{3}$: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning
Doc-CoB: Enhancing Multi-Modal Document Understanding with Visual Chain-of-Boxes Reasoning
ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark
The Hidden Structure -- Improving Legal Document Understanding Through Explicit Text Formatting
WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild?
Document Image Rectification Bases on Self-Adaptive Multitask Fusion
Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding
Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer
FRAG: Frame Selection Augmented Generation for Long Video and Long Document Understanding
Evaluating Menu OCR and Translation: A Benchmark for Aligning Human and Automated Evaluations in Large Vision-Language Models
Relation-Rich Visual Document Generator for Visual Information Extraction
NoTeS-Bank: Benchmarking Neural Transcription and Search for Scientific Notes Understanding
QID: Efficient Query-Informed ViTs in Data-Scarce Regimes for OCR-free Visual Document Understanding
How does Watermarking Affect Visual Language Models in Document Understanding?
Improving Applicability of Deep Learning based Token Classification models during Training
M-DocSum: Do LVLMs Genuinely Comprehend Interleaved Image-Text in Document Summarization?
BiblioPage: A Dataset of Scanned Title Pages for Bibliographic Metadata Extraction
A Simple yet Effective Layout Token in Large Language Models for Document Understanding
SFDLA: Source-Free Document Layout Analysis
MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding
Marten: Visual Question Answering with Mask Generation for Multi-modal Document Understanding
PP-DocBee: Improving Multimodal Document Understanding Through a Bag of Tricks
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