CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation.

Kaiwen Wei|Xiao Liu|Jie Zhang|Zijian Wang|Ruida Liu|Yuming Yang|Xin Xiao|Xiao Sun|Haoyang Zeng|Changzai Pan|Yidan Zhang|Jiang Zhong|Peijin Wang|Yingchao Feng


Anthology ID:DBLP:conf/www/WeiLZWLYXSZPZZW26
Volume:Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.
Year:2026
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:2501-2512
URL:https://doi.org/10.1145/3774904.3792726
DOI:https://doi.org/10.1145/3774904.3792726
DBLP:conf/www/WeiLZWLYXSZPZZW26
BibTeX:
@inproceedings{wei-2026-cfvbench, author = {Kaiwen Wei and Xiao Liu and Jie Zhang and Zijian Wang and Ruida Liu and Yuming Yang and Xin Xiao and Xiao Sun and Haoyang Zeng and Changzai Pan and Yidan Zhang and Jiang Zhong and Peijin Wang and Yingchao Feng}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation}}, booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}}, pages = {2501--2512}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792726}, doi = {https://doi.org/10.1145/3774904.3792726} }