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Found 6 papers, 4 papers with code
Understanding Cross-Lingual Alignment -- A Survey
Cross-lingual alignment, the meaningful similarity of representations across languages in multilingual language models, has been an active field of research in recent years.
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You
Text-to-image generation models have recently achieved astonishing results in image quality, flexibility, and text alignment and are consequently employed in a fast-growing number of applications.
Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity
We investigate outlier dimensions and their relationship to anisotropy in multiple pre-trained multilingual language models.
Speaking Multiple Languages Affects the Moral Bias of Language Models
Do the models capture moral norms from English and impose them on other languages?
Do Multilingual Language Models Capture Differing Moral Norms?
Massively multilingual sentence representations are trained on large corpora of uncurated data, with a very imbalanced proportion of languages included in the training.
Combining Static and Contextualised Multilingual Embeddings
We combine the strengths of static and contextual models to improve multilingual representations.
