4 papers · 1 filter
Pathways of Visual Information Flow in Vision-Language Models
Israfel Salazar, Stella Frank, Dan Oneata +2
We study how visual information is routed in vision-language models (VLMs). Using causal patching on controlled synthetic and natural datasets, we find that models rely on two dist…
Long Story Short: Disentangling Compositionality and Long-Caption Understanding in Contrastive VLMs
Israfel Salazar, Desmond Elliott, Yova Kementchedjhieva
Contrastive vision-language models (VLMs) have made significant progress in binding visual and textual information, yet understanding long, compositional captions remains an open c…
How Well Do Vision-Language Models Understand Movies?
Emmanouil Zaranis, António Farinhas, Saul Santos +28
Vision-language models (VLMs) can increasingly handle extended contexts and answer questions about long videos--but can they understand the narrative structure of movies as humans…
Uncovering Cultural Representation Disparities in Vision-Language Models
Ram Mohan Rao Kadiyala, Siddhant Gupta, Jebish Purbey +4
Vision-Language Models (VLMs) have demonstrated impressive capabilities across a range of tasks, yet concerns about their potential biases exist. This work investigates the extent…