Philadelphia Naming Test

Researchers introduced PRISM (Perturbation-based Regional Interpretability through Subtraction Mapping), a method that adapts human neuroimaging subtraction analysis to large language models, and appl…

Researchers found that the general-purpose language model LLaVA 1.6 can simulate speech errors of aphasia patients with high accuracy, matching six of seven error types for 97.8% of 278 individuals an…

Researchers have found that the multimodal language model LLaVA 1.6 can replicate six of seven categories of naming errors seen in stroke-induced aphasia, matching real-world clinical data in 97.8% of…