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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
Value Retrieval with Arbitrary Queries for Form-like DocumentsCode1
Document Understanding Dataset and Evaluation (DUDE)Code1
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-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
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document UnderstandingCode1
DocFormer: End-to-End Transformer for Document UnderstandingCode1
DocFormerv2: Local Features for Document UnderstandingCode1
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning—0
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