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%0 Conference Proceedings
%T Is a Video worth n n Images? A Highly Efficient Approach to Transformer-based Video Question Answering
%A Lyu, Chenyang
%A Ji, Tianbo
%A Graham, Yvette
%A Foster, Jennifer
%Y Sadat Moosavi, Nafise
%Y Gurevych, Iryna
%Y Hou, Yufang
%Y Kim, Gyuwan
%Y Kim, Young Jin
%Y Schuster, Tal
%Y Agrawal, Ameeta
%S Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada (Hybrid)
%F lyu-etal-2023-video
%R 10.18653/v1/2023.sustainlp-1.12
%U https://aclanthology.org/2023.sustainlp-1.12
%U https://doi.org/10.18653/v1/2023.sustainlp-1.12
%P 183-189

Markdown (Informal)

[Is a Video worth n n Images? A Highly Efficient Approach to Transformer-based Video Question Answering](https://aclanthology.org/2023.sustainlp-1.12) (Lyu et al., sustainlp 2023)

• Is a Video worth n n Images? A Highly Efficient Approach to Transformer-based Video Question Answering (Lyu et al., sustainlp 2023)

ACL

• Chenyang Lyu, Tianbo Ji, Yvette Graham, and Jennifer Foster. 2023. Is a Video worth n n Images? A Highly Efficient Approach to Transformer-based Video Question Answering. In Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP), pages 183–189, Toronto, Canada (Hybrid). Association for Computational Linguistics.