A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By ...
We tried out Google’s new family of multi-modal models with variants compact enough to work on local devices. They work well.
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).