4 papers
Probing Negation Understanding in Vision-Language Models With Object Attention
Beth Pearson, Michael Wray, Martha Lewis
Negation is a fundamental aspect of language understanding and it is important vision-language models (VLMs) are able to process it effectively. We investigate how VLMs process neg…
Semantic Similarity in Radiology Reports via LLMs and NER
Beth Pearson, Ahmed Adnan, Zahraa S. Abdallah
Radiology report evaluation is a crucial part of radiologists' training and plays a key role in ensuring diagnostic accuracy. As part of the standard reporting workflow, a junior r…
Compositional Concept Generalization with Variational Quantum Circuits
Hala Hawashin, Mina Abbaszadeh, Nicholas Joseph +3
Compositional generalization is a key facet of human cognition, but lacking in current AI tools such as vision-language models. Previous work examined whether a compositional tenso…
Evaluating Compositional Generalisation in VLMs and Diffusion Models
Beth Pearson, Bilal Boulbarss, Michael Wray +1
A fundamental aspect of the semantics of natural language is that novel meanings can be formed from the composition of previously known parts. Vision-language models (VLMs) have ma…