Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries.
Yin Wu|Quanyu Long|Jing Li|Jianfei Yu|Wenya Wang
| Anthology ID: | DBLP:conf/sigir/WuLLYW26 |
|---|---|
| Volume: | Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026 |
| Year: | 2026 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 3473-3480 |
| URL: | https://doi.org/10.1145/3805712.3808615 |
| DOI: | https://doi.org/10.1145/3805712.3808615 |
| DBLP: | conf/sigir/WuLLYW26 |
| BibTeX: |
@inproceedings{wu-2026-visualrag,
author = {Yin Wu and
Quanyu Long and
Jing Li and
Jianfei Yu and
Wenya Wang},
editor = {Hannah Bast and
Alistair Moffat and
Falk Scholer and
Marc Najork and
Min Zhang and
Hannah Bast and
Marc Najork and
Min Zhang},
title = {{Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {3473--3480},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3808615},
doi = {https://doi.org/10.1145/3805712.3808615}
}