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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
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
Visually Guided Generative Text-Layout Pre-training for Document IntelligenceCode2
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
TextMonkey: An OCR-Free Large Multimodal Model for Understanding DocumentCode5
Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models—0
3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document UnderstandingCode0
Hierarchical Multimodal Pre-training for Visually Rich Webpage UnderstandingCode1
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
LongFin: A Multimodal Document Understanding Model for Long Financial Domain Documents—0
On the Affinity, Rationality, and Diversity of Hierarchical Topic ModelingCode1
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with InstructionsCode2
INTERS: Unlocking the Power of Large Language Models in Search with Instruction TuningCode3
Long Context Compression with Activation Beacon—0
Multimodal weighted graph representation for information extraction from visually rich documents.Code0
DocGraphLM: Documental Graph Language Model for Information Extraction—0
On Scaling Up a Multilingual Vision and Language Model—0
OmniParser: A Unified Framework for Text Spotting Key Information Extraction and Table Recognition—0
DocLLM: A layout-aware generative language model for multimodal document understanding—0
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