Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties

Keunwoo Yu, Zheyuan Zhang, Fengyuan Hu, Shane Storks, Joyce Chai


Anthology ID:
2024.emnlp-main.1137
Volume:
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2024
Address:
Miami, Florida, USA
Editors:
Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
20416–20431
Language:
URL:
https://aclanthology.org/2024.emnlp-main.1137
DOI:
Bibkey:
Cite (ACL):
Keunwoo Yu, Zheyuan Zhang, Fengyuan Hu, Shane Storks, and Joyce Chai. 2024. Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 20416–20431, Miami, Florida, USA. Association for Computational Linguistics.
Cite (Informal):
Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties (Yu et al., EMNLP 2024)
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PDF:
https://aclanthology.org/2024.emnlp-main.1137.pdf