Vision and Language in AI

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Lab News3/19/2026

ViInfographicVQA - Our paper has been accepted!

A New Benchmark for Vietnamese Infographic Visual Question Answering

ViInfographicVQA: A Benchmark for Single and Multi-image Visual Question Answering on Vietnamese Infographics

AAAI Workshop2025

Tue-Thu Van-Dinh, Hoang-Duy Tran, Truong-Binh Duong, Mai-Hanh Pham, Binh-Nam Le-Nguyen, Quoc-Thai Nguyen

The paper introduces ViInfographicVQA, the first Vietnamese benchmark for Infographic Visual Question Answering, containing 6,747 infographics and 20,409 verified QA pairs across multiple domains. It includes two tasks: Single-image VQA and Multi-image VQA, the latter requiring reasoning across multiple related infographics. Experiments show significant performance gaps in current vision-language models, especially for cross-image reasoning tasks.

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Dương Nguyễn Thuận (Thuan Duong)

Master Student

Dương Đình Thắng (Thang Duong)

MSc in AI Robotics

Dương Trường Bình (Truong-Binh Duong)

Master Student

Nguyễn Quốc Việt (Vision)

MSc in AI Robotics

Nguyễn Anh Khôi (Koi Nguyen)

Research Assistant

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