It has long been argued that only humans could produce and understand language. But
now, for the first time, artificial language models (LMs) achieve this feat. Here we survey the …

Researchers have recently argued that the capabilities of Large Language Models (LLMs)
can provide new insights into longstanding debates about the role of learning and/or …

Large Language Models (LLMs) have been shown to be effective models of the human
language system, with some models predicting most explainable variance of brain activity in …

A significant debate has emerged in response to a paper written by Steven Piantadosi
(Piantadosi, 2023) and uploaded to the LingBuzz platform, the open archive for generative …

We present a systematic evaluation of large language models' sensitivity to argument roles,
ie, who did what to whom, by replicating psycholinguistic studies on human argument role …

Numerous previous studies have sought to determine to what extent language models,
pretrained on natural language text, can serve as useful models of human cognition. In this …

Here we discuss strategies and results of a small-sized training program based on Italian
childdirected speech (less than 3M tokens) for various network architectures. The rationale …

The last chapter discusses why smaller AI systems are becoming increasingly important in
AI. I look at existing foundation models in AI and discuss the unease many researchers …