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document understanding

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

Papers

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Showing 251–300 of 309 papers

TitleStatusHype
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding—0
Finding Pragmatic Differences Between Disciplines—0
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction—0
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction—0
Friendly Topic Assistant for Transformer Based Abstractive Summarization—0
From Entity Linking to Question Answering -- Recent Progress on Semantic Grounding Tasks—0
Génération de question à partir d’analyse sémantique pour l’adaptation non supervisée de modèles de compréhension de documents (Question generation from semantic analysis for unsupervised adaptation of document understanding models)—0
Graph Convolution for Multimodal Information Extraction from Visually Rich Documents—0
Handling tree-structured text: parsing directory pages—0
Harnessing Webpage UIs for Text-Rich Visual Understanding—0
Hierarchical BERT for Medical Document Understanding—0
Hierarchical GPT with Congruent Transformers for Multi-Sentence Language Models—0
Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding—0
How does Watermarking Affect Visual Language Models in Document Understanding?—0
HRVDA: High-Resolution Visual Document Assistant—0
Improving Applicability of Deep Learning based Token Classification models during Training—0
Improving Keyphrase Extraction with Data Augmentation and Information Filtering—0
Information Extraction from Heterogeneous Documents without Ground Truth Labels using Synthetic Label Generation and Knowledge Distillation—0
Is Cognition consistent with Perception? Assessing and Mitigating Multimodal Knowledge Conflicts in Document Understanding—0
Joint Structured Learning and Predictions under Logical Constraints in Conditional Random Fields—0
KeyVec: Key-semantics Preserving Document Representations—0
KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding—0
KOSMOS-2.5: A Multimodal Literate Model—0
LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding—0
LAPDoc: Layout-Aware Prompting for Documents—0
LayoutLLM: Large Language Model Instruction Tuning for Visually Rich Document Understanding—0
LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding—0
Leveraging Distillation Techniques for Document Understanding: A Case Study with FLAN-T5—0
Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation—0
Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applications—0
LongFin: A Multimodal Document Understanding Model for Long Financial Domain Documents—0
LoPE: Learnable Sinusoidal Positional Encoding for Improving Document Transformer Model—0
LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding—0
M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding—0
MataDoc: Margin and Text Aware Document Dewarping for Arbitrary Boundary—0
MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications—0
MATrIX -- Modality-Aware Transformer for Information eXtraction—0
Memory-Augmented Agent Training for Business Document Understanding—0
Merge and Recognize: A Geometry and 2D Context Aware Graph Model for Named Entity Recognition from Visual Documents—0
M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework—0
MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding—0
mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding—0
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding—0
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding—0
MT^3: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning—0
Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web—0
NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition—0
NoTeS-Bank: Benchmarking Neural Transcription and Search for Scientific Notes Understanding—0
Notes on Applicability of GPT-4 to Document Understanding—0
Object-oriented Neural Programming (OONP) for Document Understanding—0
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