Transformer-based Large Language Models (LLMs) have recently increased in popularity, in part due to their impressive performance on a number of language tasks. While LLMs can produce human-like writing, the extent to which these models can learn to predict spoken language in natural interaction remains unclear. This is a nontrivial question, as spoken and written language differ in syntax, pragmatics, and norms that interlocutors follow.
View Article and Find Full Text PDFNeurotypical adults often form negative first impressions of individuals with autism spectrum disorder and are less interested in engaging with them socially. In contrast, individuals with autism spectrum disorder actively seek out the company of others who share their diagnosis. It is not clear, however, whether individuals with autism spectrum disorder form more positive first impressions of autistic peers when diagnosis is not explicitly shared.
View Article and Find Full Text PDFResearch into emotional responsiveness in Autism Spectrum Disorder (ASD) has yielded mixed findings. Some studies report uniform, flat and emotionless expressions in ASD; others describe highly variable expressions that are as or even more intense than those of typically developing (TD) individuals. Variability in findings is likely due to differences in study design: some studies have examined posed (i.
View Article and Find Full Text PDF