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Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models
v1v2 (latest)

Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models

24 March 2025
Meng Cao
Pengfei Hu
Yuhang Han
J. Gu
Haoran Tang
Haoze Zhao
Chen Wang
Jiahua Dong
Wangbo Yu
G. Zhang
Jun Song
Xiang Li
Bo Zheng
Ian Reid
Xiaodan Liang
ArXiv (abs)PDFHTMLHuggingFace (13 upvotes)

Papers citing "Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models"

4 / 4 papers shown
HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes
HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes
Keliang Li
Hongze Shen
Hao Shi
Ruibing Hou
Hong Chang
...
Wen Wang
Yiling Wu
Shihong Deng
Shiguang Shan
Xilin Chen
LRM
180
1
0
19 Aug 2025
Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs
Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs
Wenrui Zhou
Shu Yang
Shu Yang
Qingsong Yang
Zikun Guo
Di Wang
Lijie Hu
Haiyan Zhao
188
6
0
08 Jun 2025
VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation
VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation
Wentao Ma
Weiming Ren
Yiming Jia
Zhuofeng Li
Ping Nie
Ge Zhang
Wenhu Chen
261
6
0
20 May 2025
Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark
Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark
Enxin Song
Wenhao Chai
Weili Xu
Jianwen Xie
Yuxuan Liu
Gaoang Wang
397
20
0
20 Apr 2025
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