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} }