SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM. Qiu, J., Madotto, A., Lin, Z., Crook, P. A., Xu, Y. E., Damavandi, B., Dong, X., Faloutsos, C., Li, L., & Moon, S. In Al-Onaizan, Y., Bansal, M., & Chen, Y., editors, Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, pages 247–266, 2024. Association for Computational Linguistics.
Paper bibtex @inproceedings{DBLP:conf/emnlp/QiuMLCXD0F0M24,
author = {Jielin Qiu and
Andrea Madotto and
Zhaojiang Lin and
Paul A. Crook and
Yifan Ethan Xu and
Babak Damavandi and
Xin Dong and
Christos Faloutsos and
Lei Li and
Seungwhan Moon},
editor = {Yaser Al{-}Onaizan and
Mohit Bansal and
Yun{-}Nung Chen},
title = {SnapNTell: Enhancing Entity-Centric Visual Question Answering with
Retrieval Augmented Multimodal {LLM}},
booktitle = {Findings of the Association for Computational Linguistics: {EMNLP}
2024, Miami, Florida, USA, November 12-16, 2024},
pages = {247--266},
publisher = {Association for Computational Linguistics},
year = {2024},
url = {https://aclanthology.org/2024.findings-emnlp.14},
timestamp = {Mon, 18 Nov 2024 09:05:59 +0100},
biburl = {https://dblp.org/rec/conf/emnlp/QiuMLCXD0F0M24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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