Doc-V* proposes a coarse-to-fine interactive visual reasoning agent for multi-page document VQA that aggregates evidence selectively via semantic retrieval and targeted fetching, outperforming baselines by up to 47.9% on out-of-domain tasks.
Purchase now! Send a mail to: info@nordstromfrank.se €2,500 Contains facts, maps, flags and templates for use in InDesign
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Doc-V*:Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA
Doc-V* proposes a coarse-to-fine interactive visual reasoning agent for multi-page document VQA that aggregates evidence selectively via semantic retrieval and targeted fetching, outperforming baselines by up to 47.9% on out-of-domain tasks.