Researchers agree that comprehenders regularly predict upcoming language, but they do not always agree on what prediction is (and how to differentiate it from integration) or what …
S Piantadosi - Lingbuzz Preprint, lingbuzz, 2023 - lingbuzz.net
The rise and success of large language models undermines virtually every strong claim for the innateness of language that has been proposed by generative linguistics. Modern …
The neuroscience of perception has recently been revolutionized with an integrative modeling approach in which computation, brain function, and behavior are linked across …
The widespread adoption of large language models (LLMs) makes it important to recognize their strengths and limitations. We argue that in order to develop a holistic understanding of …
A major goal of psycholinguistic theory is to account for the cognitive constraints limiting the speed and ease of language comprehension and production. Wide-ranging evidence …
ZG Cai, DA Haslett, X Duan, S Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) and LLM-driven chatbots such as ChatGPT have shown remarkable capacities in comprehending and producing language. However, their internal …
Abstract Language behaviour is complex, but neuroscientific evidence disentangles it into distinct components supported by dedicated brain areas or networks. In this Review, we …
Memory is fleeting. New material rapidly obliterates previous material. How, then, can the brain deal successfully with the continual deluge of linguistic input? We argue that, to deal …
Do state-of-the-art natural language understanding models care about word order-one of the most important characteristics of a sequence? Not always! We found 75% to 90% of the …