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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
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document UnderstandingCode0
MarkupLM: Pre-training of Text and Markup Language for Visually-rich Document UnderstandingCode0
Table Detection for Visually Rich Document ImagesCode0
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning—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
BERT-AL: BERT for Arbitrarily Long Document Understanding—0
From Entity Linking to Question Answering -- Recent Progress on Semantic Grounding Tasks—0
Friendly Topic Assistant for Transformer Based Abstractive Summarization—0
Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review—0
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction—0
DeeperDive: The Unreasonable Effectiveness of Weak Supervision in Document Understanding A Case Study in Collaboration with UiPath Inc—0
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content—0
A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications—0
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction—0
Finding Pragmatic Differences Between Disciplines—0
Decontextualization: Making Sentences Stand-Alone—0
Automatic Knowledge Extraction with Human Interface—0
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding—0
DAViD: Domain Adaptive Visually-Rich Document Understanding with Synthetic Insights—0
Extract with Order for Coherent Multi-Document Summarization—0
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling—0
DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding—0
Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer—0
Arctic-TILT. Business Document Understanding at Sub-Billion Scale—0
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding—0
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