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document understanding

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

Papers

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Showing 201–210 of 309 papers

TitleStatusHype
Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks—0
Test-Time Adaptation for Visual Document Understanding—0
DuReader_vis: A Chinese Dataset for Open-domain Document Visual Question Answering—0
The Hidden Structure -- Improving Legal Document Understanding Through Explicit Text Formatting—0
The Law of Large Documents: Understanding the Structure of Legal Contracts Using Visual Cues—0
The MERIT Dataset: Modelling and Efficiently Rendering Interpretable Transcripts—0
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
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