5 papers
Where is the multimodal goal post? On the Ability of Foundation Models to Recognize Contextually Important Moments
Aditya K Surikuchi, Raquel Fernández, Sandro Pezzelle
Foundation models are used for many real-world applications involving language generation from temporally-ordered multimodal events. In this work, we study the ability of models to…
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…
Natural Language Generation from Visual Events: State-of-the-Art and Key Open Questions
Aditya K Surikuchi, Raquel Fernández, Sandro Pezzelle
In recent years, a substantial body of work in visually grounded natural language processing has focused on real-life multimodal scenarios such as describing content depicted in im…
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…
Not (yet) the whole story: Evaluating Visual Storytelling Requires More than Measuring Coherence, Grounding, and Repetition
Aditya K Surikuchi, Raquel Fernández, Sandro Pezzelle
Visual storytelling consists in generating a natural language story given a temporally ordered sequence of images. This task is not only challenging for models, but also very diffi…