Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Abstract: With the growing sophistication of large language models, distinguishing between human-written and machinegenerated text has become increasingly challenging. Deepfake text—content that ...

Abstract: One common type of cancer that starts in the bladder's epithelium lining is bladder cancer. With a higher prevalence in males than women, it is the seventh most prevalent cancer globally and ...