SOTAVerified

document understanding

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 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
DocGraphLM: Documental Graph Language Model for Information Extraction—0
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models—0
DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming—0
DocLLM: A layout-aware generative language model for multimodal document understanding—0
DocMamba: Efficient Document Pre-training with State Space Model—0
DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding—0
Document Collection Visual Question Answering—0
DocumentNet: Bridging the Data Gap in Document Pre-Training—0
Document Image Rectification Bases on Self-Adaptive Multitask Fusion—0
Document Layout Analysis with Aesthetic-Guided Image Augmentation—0
Document Understanding for Healthcare Referrals—0
DocVLM: Make Your VLM an Efficient Reader—0
DocXChain: A Powerful Open-Source Toolchain for Document Parsing and Beyond—0
DOGE: Towards Versatile Visual Document Grounding and Referring—0
DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency—0
DrVideo: Document Retrieval Based Long Video Understanding—0
DUBLIN -- Document Understanding By Language-Image Network—0
Efficient End-to-End Visual Document Understanding with Rationale Distillation—0
Efficient layout-aware pretraining for multimodal form understanding—0
Enhancing Question Answering on Charts Through Effective Pre-training Tasks—0
Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models—0
Enumeration of Extractive Oracle Summaries—0
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding—0
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling—0
Extract with Order for Coherent Multi-Document Summarization—0
Show:102550
← PrevPage 5 of 7Next →

No leaderboard results yet.