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M3-VQA: A Benchmark for Multimodal, Multi-Entity, Multi-Hop Visual Question Answering

Year: 2026

Type: conference-paper

Abstract: Jiatong Ma, Longteng Guo, Yuchen Liu, Zijia Zhao, Dongze Hao, Xuanxu Lin, Jing Liu. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.

Source: Proceedings of the conference - Association for Computational Linguistics. Meeting

DOI: 10.18653/v1/2026.acl-long.1888

Authors: Jiatong Ma, Longteng Guo, Yuchen Liu, Zijia Zhao, Dongze Hao, Xuanxu Lin, Jing Liu

Institutions: Chinese Academy of Sciences, Institute of Automation, University of Chinese Academy of Sciences

Language: English

Topic: Multimodal Machine Learning Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, National Science and Technology Major Project

Awards: G3338927550, G3352541487, G3603934564, G4729153174, G5412459697, G5747617250, G8701145552

OpenAlex ID: W7166818608

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