CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval.
Hao Deng|Haibo Xing|Kanefumi Matsuyama|Moyu Zhang|Jinxin Hu|Hong Wen|Yu Zhang|Xiaoyi Zeng|Jing Zhang
| Anthology ID: | DBLP:conf/sigir/DengXMZH0ZZZ25 |
|---|---|
| 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: | 2122-2131 |
| URL: | https://doi.org/10.1145/3726302.3729939 |
| DOI: | https://doi.org/10.1145/3726302.3729939 |
| DBLP: | conf/sigir/DengXMZH0ZZZ25 |
| BibTeX: |
@inproceedings{deng-2025-csmf,
author = {Hao Deng and
Haibo Xing and
Kanefumi Matsuyama and
Moyu Zhang and
Jinxin Hu and
Hong Wen and
Yu Zhang and
Xiaoyi Zeng and
Jing Zhang},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based 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 = {2122--2131},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3729939},
doi = {https://doi.org/10.1145/3726302.3729939}
}