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document understanding

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

Papers

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Showing 126–150 of 309 papers

TitleStatusHype
Can AI Models Appreciate Document Aesthetics? An Exploration of Legibility and Layout Quality in Relation to Prediction Confidence—0
Document Collection Visual Question Answering—0
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions—0
Calculating Semantic Similarity between Academic Articles using Topic Event and Ontology—0
DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding—0
Building and better understanding vision-language models: insights and future directions—0
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends—0
BuDDIE: A Business Document Dataset for Multi-task Information Extraction—0
DocMamba: Efficient Document Pre-training with State Space Model—0
A Survey and Approach to Chart Classification—0
DocLLM: A layout-aware generative language model for multimodal document understanding—0
BROS: A Pre-trained Language Model for Understanding Texts in Document—0
LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding—0
Is Cognition consistent with Perception? Assessing and Mitigating Multimodal Knowledge Conflicts in Document Understanding—0
BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations—0
LAPDoc: Layout-Aware Prompting for Documents—0
DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming—0
A Simple yet Effective Layout Token in Large Language Models for Document Understanding—0
Information Extraction from Heterogeneous Documents without Ground Truth Labels using Synthetic Label Generation and Knowledge Distillation—0
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models—0
LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding—0
LayoutLLM: Large Language Model Instruction Tuning for Visually Rich Document Understanding—0
DocGraphLM: Documental Graph Language Model for Information Extraction—0
Improving Keyphrase Extraction with Data Augmentation and Information Filtering—0
Joint Structured Learning and Predictions under Logical Constraints in Conditional Random Fields—0
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