Sirvi Proceedings of the 1st Workshop on Nordic-Baltic Responsible Evaluation and Alignment of Language Models (NB-REAL 2025) Autor "Rikters, Matīss" järgi
(University of Tartu Library, 2025-03) Rikters, Matīss; Marrese-Taylor, Edison; Einarsson, Hafsteinn; Simonsen, Annika; Nielsen, Dan Saattrup
Various social networks have been allowing media uploads for over a decade now. Still, it has not always been clear what is their relation with the posted text or even if there is any at all. In this work, we explore how multilingual vision-language models tackle the task of image-text relation prediction in different languages, and construct a dedicated balanced benchmark data set from Twitter posts in Latvian along with their manual translations into English. We compare our results to previous work and show that the more recently released vision-language model checkpoints are becoming increasingly capable at this task, but there is still much room for further improvement.