4 papers
How Important is `Perfect' English for Machine Translation Prompts?
PatrÃcia 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…
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You
Felix Friedrich, Katharina Hämmerl, Patrick Schramowski +4
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…
Beyond Literal Token Overlap: Token Alignability for Multilinguality
Katharina Hämmerl, Tomasz Limisiewicz, JindÅich 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…
Understanding Cross-Lingual Alignment -- A Survey
Katharina Hämmerl, JindÅich Libovický, Alexander Fraser
Cross-lingual alignment, the meaningful similarity of representations across languages in multilingual language models, has been an active field of research in recent years. We sur…