Contemporary autoregressive language models (LMs) trained purely on corpus data have
been shown to capture numerous features of human incremental processing. However, past …

An important feature of language production is the flexibility of lexical selection; producers
could refer to an animal as chimpanzee, chimp, ape, she, and so on. Thus, a key question …

Language models that are trained on the next-word prediction task have been shown to
accurately model human behavior in word prediction and reading speed. In contrast with …

The computational complexity of the self-attention mechanism in Transformer models
significantly limits their ability to generalize over long temporal durations. Memory …

The effect of surprisal on processing difficulty has been a central topic of investigation in
psycholinguistics. Here, we use eyetracking data to examine three language processing …

Humans communicate through both spoken and written language, often switching between
these modalities depending on their goals. The recent success of large language models …