SOTAVerified

document understanding

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 221–230 of 309 papers

TitleStatusHype
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning—0
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications—0
DLUE: Benchmarking Document Language Understanding—0
Doc2Im: document to image conversion through self-attentive embedding—0
Doc-CoB: Enhancing Multi-Modal Document Understanding with Visual Chain-of-Boxes Reasoning—0
DocGraphLM: Documental Graph Language Model for Information Extraction—0
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models—0
DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming—0
DocLLM: A layout-aware generative language model for multimodal document understanding—0
DocMamba: Efficient Document Pre-training with State Space Model—0
Show:102550
← PrevPage 23 of 31Next →

No leaderboard results yet.