SOTAVerified

document understanding

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

Papers

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Showing 191–200 of 309 papers

TitleStatusHype
Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models—0
Sequence-to-Sequence Pre-training with Unified Modality Masking for Visual Document Understanding—0
Shakti-VLMs: Scalable Vision-Language Models for Enterprise AI—0
SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation—0
SLJP: Semantic Extraction based Legal Judgment Prediction—0
Long Context Compression with Activation Beacon—0
StructFormer: Document Structure-based Masked Attention and its Impact on Language Model Pre-Training—0
Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends—0
SynthDoc: Bilingual Documents Synthesis for Visual Document Understanding—0
Table-Of-Contents generation on contemporary documents—0
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