Papers with multilingual model decoder representations

1 papers
Exploring Geometric Representational Disparities between Multilingual and Bilingual Translation Models (2024.lrec-main)

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Challenge: Existing work shows that limited modeling capacity is a major contributor to reduced performance in multilingual models.
Approach: They investigate the isotropy of multilingual model decoder representations using intrinsic dimensionality and IsoScore to measure how they utilize the dimensions in their underlying vector space.
Outcome: The proposed model decoder representations are less isotropic and occupy fewer dimensions than bilingual models.

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