Doc-V*: Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA

Challenge:	Existing OCR-free approaches to document visual question answering are brittle and passive.
Approach:	They propose an OCR-free agentic framework that casts multi-page DocVQA as sequential evidence aggregation.
Outcome:	The proposed framework outperforms open-source and proprietary models in five benchmarks and improves out-of-domain performance by 47.9% over baseline.

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Overview

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Xixi Wu, Yanchao Tan, Nan Hou, Ruiyang Zhang, Hong Cheng

Multimodality

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Multimodality

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