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document understanding

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

Papers

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Showing 161–170 of 309 papers

TitleStatusHype
TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection—0
Towards Complex Document Understanding By Discrete Reasoning—0
Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach—0
Towards Natural Language-Based Document Image Retrieval: New Dataset and Benchmark—0
GlobalDoc: A Cross-Modal Vision-Language Framework for Real-World Document Image Retrieval and Classification—0
Transformer-based Approach for Document Understanding—0
TRIE: End-to-End Text Reading and Information Extraction for Document Understanding—0
Two to Five Truths in Non-Negative Matrix Factorization—0
Understanding Long Documents with Different Position-Aware Attentions—0
UniDoc: Unified Pretraining Framework for Document Understanding—0
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