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} }