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document understanding

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

Papers

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Showing 71–80 of 309 papers

TitleStatusHype
PaddleOCR 3.0 Technical Report—0
DrishtiKon: Multi-Granular Visual Grounding for Text-Rich Document ImagesCode0
Class-Agnostic Region-of-Interest Matching in Document ImagesCode0
Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models—0
PP-DocBee2: Improved Baselines with Efficient Data for Multimodal Document Understanding—0
WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts—0
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning—0
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions—0
Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document ParsingCode0
Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning—0
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