39 citations · 39 across the 3 of their papers we have counts for
3 papers
cs.CV2025
mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data
Haonan Chen, Liang Wang, Nan Yang +4
Multimodal embedding models have gained significant attention for their ability to map data from different modalities, such as text and images, into a unified representation space.…
cs.CL2024★ 39 cited
Multilingual E5 Text Embeddings: A Technical Report
Liang Wang, Nan Yang, Xiaolong Huang +3
This technical report presents the training methodology and evaluation results of the open-source multilingual E5 text embedding models, released in mid-2023. Three embedding model…
cs.LG2023
TCGF: A unified tensorized consensus graph framework for multi-view representation learning
Xiangzhu Meng, Wei Wei, Qiang Liu +2
Multi-view learning techniques have recently gained significant attention in the machine learning domain for their ability to leverage consistency and complementary information acr…