Assessing Effective Token Length of Multimodal Models for Text-to-Image Retrieval.
Le Nguyen|Preet Jain|Krutik Panchal|Md Tanvirul Alam|Nidhi Rastogi
| Anthology ID: | DBLP:conf/sigir/0004JPAR25 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 3173-3182 |
| URL: | https://doi.org/10.1145/3726302.3730326 |
| DOI: | https://doi.org/10.1145/3726302.3730326 |
| DBLP: | conf/sigir/0004JPAR25 |
| BibTeX: |
@inproceedings{nguyen-2025-assessing,
author = {Le Nguyen and
Preet Jain and
Krutik Panchal and
Md Tanvirul Alam and
Nidhi Rastogi},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Assessing Effective Token Length of Multimodal Models for Text-to-Image Retrieval}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {3173--3182},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730326},
doi = {https://doi.org/10.1145/3726302.3730326}
}