6 citations · 6 across the 2 of their papers we have counts for
4 papers
How Important is `Perfect' English for Machine Translation Prompts?
Patrícia Schmidtová, Niyati Bafna, Seth Aycock +4
Large language models (LLMs) have achieved top results in recent machine translation evaluations, but they are also known to be sensitive to errors and perturbations in their promp…
Beyond Literal Token Overlap: Token Alignability for Multilinguality
Katharina Hämmerl, Tomasz Limisiewicz, Jindřich Libovický +1
Previous work has considered token overlap, or even similarity of token distributions, as predictors for multilinguality and cross-lingual knowledge transfer in language models. Ho…
Do Multilingual Language Models Capture Differing Moral Norms?
Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski +3
Massively multilingual sentence representations are trained on large corpora of uncurated data, with a very imbalanced proportion of languages included in the training. This may ca…
Combining Static and Contextualised Multilingual Embeddings
Katharina Hämmerl, Jindřich Libovický, Alexander Fraser
Static and contextual multilingual embeddings have complementary strengths. Static embeddings, while less expressive than contextual language models, can be more straightforwardly…