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document understanding

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

Papers

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Showing 61–70 of 309 papers

TitleStatusHype
DocQueryNet: Value Retrieval with Arbitrary Queries for Form-like DocumentsCode1
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural NetworksCode1
DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine ReadingCode1
DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real WorldCode1
LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and LocatingCode1
DocFormer: End-to-End Transformer for Document UnderstandingCode1
DocFormerv2: Local Features for Document UnderstandingCode1
Is ChatGPT A Good Keyphrase Generator? A Preliminary StudyCode0
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