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document understanding

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

Papers

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Showing 201–225 of 309 papers

TitleStatusHype
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
DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding—0
DAViD: Domain Adaptive Visually-Rich Document Understanding with Synthetic Insights—0
Decontextualization: Making Sentences Stand-Alone—0
DeeperDive: The Unreasonable Effectiveness of Weak Supervision in Document Understanding A Case Study in Collaboration with UiPath Inc—0
Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review—0
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning—0
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications—0
DLUE: Benchmarking Document Language Understanding—0
Doc2Im: document to image conversion through self-attentive embedding—0
Doc-CoB: Enhancing Multi-Modal Document Understanding with Visual Chain-of-Boxes Reasoning—0
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