Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval
A disentangled contrastive learning~(DCL) method for multilingual dense retrieval by separating multilingual representations into semantic and linguistic subspaces based on hierarchical semantic alignment and language debiasing contrastive learning to reduce language-induced interference in semantic matching.