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Hubness, Not Anisotropy, Drives Cross-Lingual Retrieval Asymmetry in Multilingual Embedding Models

arXiv cs.CL · 2026-05-27 Cached

This paper investigates the cause of cross-lingual retrieval asymmetry in multilingual embedding models. The authors propose and test the hub-mediation hypothesis, finding that hubness, not anisotropy, is the dominant cause, and recommend using CSLS instead of cosine similarity.

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