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document understanding

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

Papers

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Showing 151–200 of 309 papers

TitleStatusHype
GlobalDoc: A Cross-Modal Vision-Language Framework for Real-World Document Image Retrieval and Classification—0
Transformer-based Approach for Document Understanding—0
Two to Five Truths in Non-Negative Matrix Factorization—0
Understanding Long Documents with Different Position-Aware Attentions—0
UniDoc: Unified Pretraining Framework for Document Understanding—0
Unified Pretraining Framework for Document Understanding—0
Unimodal and Multimodal Representation Training for Relation Extraction—0
ViRED: Prediction of Visual Relations in Engineering Drawings—0
WebFormer: The Web-page Transformer for Structure Information Extraction—0
"What is the value of templates?" Rethinking Document Information Extraction Datasets for LLMs—0
What Makes a Good Dataset for Symbol Description Reading?—0
WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts—0
Workshop on Document Intelligence Understanding—0
XFUND: A Benchmark Dataset for Multilingual Visually Rich Form Understanding—0
Deep Learning based Visually Rich Document Content Understanding: A Survey—0
Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models—0
WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild?—0
VRDU: A Benchmark for Visually-rich Document Understanding—0
Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding—0
A LayoutLMv3-Based Model for Enhanced Relation Extraction in Visually-Rich Documents—0
A Multi-Modal Multilingual Benchmark for Document Image Classification—0
Arctic-TILT. Business Document Understanding at Sub-Billion Scale—0
A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications—0
A Simple yet Effective Layout Token in Large Language Models for Document Understanding—0
Assessing Generative AI value in a public sector context: evidence from a field experiment—0
A Survey and Approach to Chart Classification—0
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends—0
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions—0
AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21—0
A Token-level Text Image Foundation Model for Document Understanding—0
Attention-Based Graph Neural Network with Global Context Awareness for Document Understanding—0
Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration—0
A User-Centered Concept Mining System for Query and Document Understanding at Tencent—0
Auto-encodeurs pour la compr\'ehension de documents parl\'es (Auto-encoders for Spoken Document Understanding)—0
Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer—0
Automatic Knowledge Extraction with Human Interface—0
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content—0
BERT-AL: BERT for Arbitrarily Long Document Understanding—0
BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks—0
Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding—0
BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations—0
BROS: A Pre-trained Language Model for Understanding Texts in Document—0
BuDDIE: A Business Document Dataset for Multi-task Information Extraction—0
Building and better understanding vision-language models: insights and future directions—0
Calculating Semantic Similarity between Academic Articles using Topic Event and Ontology—0
Can AI Models Appreciate Document Aesthetics? An Exploration of Legibility and Layout Quality in Relation to Prediction Confidence—0
Read and Think: An Efficient Step-wise Multimodal Language Model for Document Understanding and Reasoning—0
ClueWeb22: 10 Billion Web Documents with Visual and Semantic Information—0
CREPE: Coordinate-Aware End-to-End Document Parser—0
DAViD: Domain Adaptive Visually-Rich Document Understanding with Synthetic Insights—0
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