SOTAVerified

document understanding

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 61–70 of 309 papers

TitleStatusHype
DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine ReadingCode1
Value Retrieval with Arbitrary Queries for Form-like DocumentsCode1
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
Docopilot: Improving Multimodal Models for Document-Level UnderstandingCode1
DocumentCLIP: Linking Figures and Main Body Text in Reflowed DocumentsCode1
DocQueryNet: Value Retrieval with Arbitrary Queries for Form-like DocumentsCode1
A Discrete Variational Recurrent Topic Model without the Reparametrization TrickCode1
DocFormer: End-to-End Transformer for Document UnderstandingCode1
Enhancing Visually-Rich Document Understanding via Layout Structure ModelingCode1
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning—0
Show:102550
← PrevPage 7 of 31Next →

No leaderboard results yet.