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Video-Bench:A comprehensive benchmark and toolkit for evaluating video-based large language models

Munan Ning Bin Zhu Yujia Xie Bin Lin Jiaxi Cui Lu Yuan Dongdong Chen Li Yuan

Computational Visual Media2026，Vol.12Issue(1)：P.71-84,14.

Computational Visual Media2026，Vol.12Issue(1)：P.71-84,14.DOI:10.26599/CVM.2025.9450516

Video-Bench:A comprehensive benchmark and toolkit for evaluating video-based large language models

Munan Ning ¹Bin Zhu ²Yujia Xie ³Bin Lin ²Jiaxi Cui ⁴Lu Yuan ⁵Dongdong Chen ³Li Yuan¹

作者信息

1. Shenzhen Graduate School,Peking University,Shenzhen 518055,China Pengcheng Laboratory,Shenzhen 518000,China
2. Shenzhen Graduate School,Peking University,Shenzhen 518055,China
3. Microsoft Cloud AI,Beijing 100080,China
4. Pandalla.ai,Singapore 048624,Singapore
5. Meta AI,Shanghai 201203,China
折叠

摘要

关键词

multimodal large language model/vision question answering/benchmark/video processing

分类

信息技术与安全科学

引用本文复制引用

Munan Ning,Bin Zhu,Yujia Xie,Bin Lin,Jiaxi Cui,Lu Yuan,Dongdong Chen,Li Yuan..Video-Bench:A comprehensive benchmark and toolkit for evaluating video-based large language models[J].Computational Visual Media,2026,12(1):P.71-84,14.

基金项目

supported in part by grants from the National Natural Science Foundation of China(62202014,62332002,62425101). （62202014,62332002,62425101）

Computational Visual Media

ISSN：2096-0433

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