Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...
Vision-language models consistently struggle with tasks that require multiple consecutive reasoning steps about an image, revealing a fundamental weakness in their ...
Abstract: Reconstructing prompts in text generation systems is a significant challenge in natural language processing (NLP). This study presents a novel Siamese encoder-decoder framework augmented ...
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