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document understanding

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

Papers

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Showing 31–40 of 309 papers

TitleStatusHype
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
Docopilot: Improving Multimodal Models for Document-Level UnderstandingCode1
LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and LocatingCode1
Typhoon 2: A Family of Open Text and Multimodal Thai Large Language ModelsCode1
CAMEL-Bench: A Comprehensive Arabic LMM BenchmarkCode1
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document UnderstandingCode1
DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document UnderstandingCode1
DANIEL: A fast Document Attention Network for Information Extraction and Labelling of handwritten documentsCode1
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal LearningCode1
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