Year: 2025
Type: conference-paper
Abstract: Robustness and Effectiveness are critical aspects of developing dense retrieval models for real-world applications. It is known that there is a trade-off between the two. Recent work has addressed scaling laws of effectiveness in dense retrieval, revealing a power-law relationship between effectiveness and the size of models and data. Does robustness follow scaling laws too? If so, can scaling improve both robustness and effectiveness together, or do they remain locked in a trade-off?
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Funders: European Commission, National Natural Science Foundation of China, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Universitas Brawijaya, HORIZON EUROPE Framework Programme, National Key Research and Development Program of China, Youth Innovation Promotion Association
OpenAlex ID: W4412376947