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New Survey Maps Long-Document Visual Question Answering Landscape

By PulseAugur Editorial · [2 sources] ·

A new survey paper published on arXiv provides a task-centric breakdown of long-document visual question answering (VQA). It categorizes the field into document parsing, evidence organization and retrieval, generator organization and learning, and evaluation. The paper traces the evolution of research priorities, moving from multimodal content understanding to a focus on acquiring and managing high-fidelity evidence, and suggests future research directions in areas like verifiable understanding and continual document comprehension. AI

IMPACT Provides a structured overview and future directions for research in long-document visual question answering.

RANK_REASON The cluster contains a survey paper published on arXiv detailing a specific research area.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New Survey Maps Long-Document Visual Question Answering Landscape

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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Yufei Tong, Guanjie Cheng, Tianle Wu, Leilei Zhang, Hang Zheng, Peihan Wu, Jianwei Yin, Shuiguang Deng ·

    A Task-Centric Survey of Long-Document Visual Question Answering: Taxonomy, Evolution, and Future Directions

    arXiv:2610.31385v1 Announce Type: cross Abstract: Visual document understanding is essential for acquiring knowledge from visually rich documents and is attracting growing research interest. Existing surveys emphasize architectures or technical approaches, with limited attention …

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Shuiguang Deng ·

    A Task-Centric Survey of Long-Document Visual Question Answering: Taxonomy, Evolution, and Future Directions

    Visual document understanding is essential for acquiring knowledge from visually rich documents and is attracting growing research interest. Existing surveys emphasize architectures or technical approaches, with limited attention to how task bottlenecks shape technical choices an…

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