55 citations · 82 across the 12 of their papers we have counts for
3 papers · 1 filter
Contrast Is All You Need
Burak Kilic, Florix Bex, Albert Gatt
In this study, we analyze data-scarce classification scenarios, where available labeled legal data is small and imbalanced, potentially hurting the quality of the results. We focus…
Interpreting Vision and Language Generative Models with Semantic Visual Priors
Michele Cafagna, Lina M. Rojas-Barahona, Kees van Deemter +1
When applied to Image-to-text models, interpretability methods often provide token-by-token explanations namely, they compute a visual explanation for each token of the generated s…
HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales
Michele Cafagna, Kees van Deemter, Albert Gatt
Current captioning datasets focus on object-centric captions, describing the visible objects in the image, e.g. "people eating food in a park". Although these datasets are useful t…