4 papers
What Makes Linguistic Representations Good Models of High-Level Visual Perception in the Human Brain?
Anna Bavaresco, Ina KlariÄ, Raquel Fernández +1
Image descriptions represented with language models (LMs) predict human brain responses to naturalistic images in high-level visual regions, but the factors driving this predictivi…
Vision-Language Models Align with Human Neural Representations in Concept Processing
Anna Bavaresco, Marianne de Heer Kloots, Sandro Pezzelle +1
Recent studies suggest that transformer-based vision-language models (VLMs) capture the multimodality of concept processing in the human brain. However, a systematic evaluation exp…
Experiential Semantic Information and Brain Alignment: Are Multimodal Models Better than Language Models?
Anna Bavaresco, Raquel Fernández
A common assumption in Computational Linguistics is that text representations learnt by multimodal models are richer and more human-like than those by language-only models, as they…
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks
Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi +17
There is an increasing trend towards evaluating NLP models with LLMs instead of human judgments, raising questions about the validity of these evaluations, as well as their reprodu…