3 citations · 5 across the 4 of their papers we have counts for
4 papers
Grounding Spatial Relations in Text-Only Language Models
Gorka Azkune, Ander Salaberria, Eneko Agirre
This paper shows that text-only Language Models (LM) can learn to ground spatial relations like "left of" or "below" if they are provided with explicit location information of obje…
Improving Explicit Spatial Relationships in Text-to-Image Generation through an Automatically Derived Dataset
Ander Salaberria, Gorka Azkune, Oier Lopez de Lacalle +3
Existing work has observed that current text-to-image systems do not accurately reflect explicit spatial relations between objects such as 'left of' or 'below'. We hypothesize that…
Unsupervised Domain Adaption for Neural Information Retrieval
Carlos Dominguez, Jon Ander Campos, Eneko Agirre +1
Neural information retrieval requires costly annotated data for each target domain to be competitive. Synthetic annotation by query generation using Large Language Models or rule-b…
Do Multilingual Language Models Think Better in English?
Julen Etxaniz, Gorka Azkune, Aitor Soroa +2
Translate-test is a popular technique to improve the performance of multilingual language models. This approach works by translating the input into English using an external machin…