LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data.
Grigor Bezirganyan|Sana Sellami|Laure Berti-Équille|Sébastien Fournier
| Anthology ID: | DBLP:conf/sigir/BezirganyanSBF25 |
|---|---|
| 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: | 3782-3791 |
| URL: | https://doi.org/10.1145/3726302.3730302 |
| DOI: | https://doi.org/10.1145/3726302.3730302 |
| DBLP: | conf/sigir/BezirganyanSBF25 |
| BibTeX: |
@inproceedings{bezirganyan-2025-luma,
author = {Grigor Bezirganyan and
Sana Sellami and
Laure Berti-\'{E}quille and
S\'{e}bastien Fournier},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data}},
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 = {3782--3791},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730302},
doi = {https://doi.org/10.1145/3726302.3730302}
}