DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Models. Wang, Y., Yuan, S., Xue, B., Jian, X., Pang, W., Wang, M., & Yu, N. In Chiruzzo, L., Ritter, A., & Wang, L., editors, Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2025 - Volume 1: Long Papers, Albuquerque, New Mexico, USA, April 29 - May 4, 2025, pages 3037–3056, 2025. Association for Computational Linguistics.
Paper doi bibtex @inproceedings{DBLP:conf/naacl/WangYXJPWY25,
author = {Yimu Wang and
Shuai Yuan and
Bo Xue and
Xiangru Jian and
Wei Pang and
Mushi Wang and
Ning Yu},
editor = {Luis Chiruzzo and
Alan Ritter and
Lu Wang},
title = {{DREAM:} Improving Video-Text Retrieval Through Relevance-Based Augmentation
Using Large Foundation Models},
booktitle = {Proceedings of the 2025 Conference of the Nations of the Americas
Chapter of the Association for Computational Linguistics: Human Language
Technologies, {NAACL} 2025 - Volume 1: Long Papers, Albuquerque, New
Mexico, USA, April 29 - May 4, 2025},
pages = {3037--3056},
publisher = {Association for Computational Linguistics},
year = {2025},
url = {https://doi.org/10.18653/v1/2025.naacl-long.156},
doi = {10.18653/V1/2025.NAACL-LONG.156},
timestamp = {Fri, 13 Jun 2025 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/naacl/WangYXJPWY25.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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