Preprint
Aug 2026
Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval
Multilingual dense retrieval aims to handle queries and documents across different languages based on a unified retriever model. The challenge lies in enabling robust retrieval transfer to low-resource languages where annotated retrieval data is often scarce. Although previous studies transfer high-resource supervision...
Chao Huang, Yufeng Chen, Changhao Guan et al.
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