Back to search

Article

Thinking ahead: spontaneous prediction in context as a keystone of language in humans and machines

2020-12-03

Abstract excerpt

Departing from traditional linguistic models, advances in deep learning have resulted in a new type of predictive (autoregressive) deep language models (DLMs). Using a self-supervised next-word prediction task, these models are trained to generate appropriate linguistic responses in a given context. We provide empirical evidence that the human brain and autoregressive DLMs share three fundamental computational pri...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
8f8eac42-26d5-560f-a00d-fa3c68c21fb2
DOI
10.1101/2020.12.02.403477
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Thinking ahead: spontaneous prediction in context as a keystone of language in humans and machinesDOI 10.1101/2020.12.02.403477
Select a neighboring publication to make it the new centre.