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document understanding

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

Papers

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Showing 151–175 of 309 papers

TitleStatusHype
Multimodal Structured Generation: CVPR's 2nd MMFM Challenge Technical ReportCode0
Enhancing Question Answering on Charts Through Effective Pre-training Tasks—0
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications—0
Retrieval Augmented Structured Generation: Business Document Information Extraction As Tool Use—0
Notes on Applicability of GPT-4 to Document Understanding—0
Multimodal Adaptive Inference for Document Image Classification with Anytime Early ExitingCode0
GeoContrastNet: Contrastive Key-Value Edge Learning for Language-Agnostic Document UnderstandingCode0
CREPE: Coordinate-Aware End-to-End Document Parser—0
Machine Unlearning for Document ClassificationCode0
Multi-Page Document Visual Question Answering using Self-Attention Scoring MechanismCode0
A LayoutLMv3-Based Model for Enhanced Relation Extraction in Visually-Rich Documents—0
Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach—0
HRVDA: High-Resolution Visual Document Assistant—0
LayoutLLM: Layout Instruction Tuning with Large Language Models for Document UnderstandingCode0
BuDDIE: A Business Document Dataset for Multi-task Information Extraction—0
OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition—0
Can AI Models Appreciate Document Aesthetics? An Exploration of Legibility and Layout Quality in Relation to Prediction Confidence—0
LayoutLLM: Large Language Model Instruction Tuning for Visually Rich Document Understanding—0
mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding—0
Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models—0
3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document UnderstandingCode0
Read and Think: An Efficient Step-wise Multimodal Language Model for Document Understanding and Reasoning—0
RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning—0
LAPDoc: Layout-Aware Prompting for Documents—0
Financial Report Chunking for Effective Retrieval Augmented GenerationCode0
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