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document understanding

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

Papers

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Showing 111–120 of 309 papers

TitleStatusHype
Memory-Augmented Agent Training for Business Document Understanding—0
Learned Compression for Compressed LearningCode0
DocVLM: Make Your VLM an Efficient Reader—0
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling—0
BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks—0
MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications—0
DOGE: Towards Versatile Visual Document Grounding and Referring—0
StructFormer: Document Structure-based Masked Attention and its Impact on Language Model Pre-Training—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
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