2.6k citations · 4k across the 31 of their papers we have counts for
33 papers
Tolerance Principle and Small Language Model Learning
Adam E. Friedman, Stevan Harnad, Rushen Shi
Modern language models like GPT-3, BERT, and LLaMA require massive training data, yet with sufficient training they reliably learn to distinguish grammatical from ungrammatical sen…
Neural correlates of learned categorical perception of visual stimuli with local features
F. Pérez-Gay, T. Sicotte, N. Goulet +2
Learning to categorize requires distinguishing category members from non-members by detecting the features that covary with membership. Whether this process can induce changes in p…
Language Writ Large: LLMs, ChatGPT, Grounding, Meaning and Understanding
Stevan Harnad
Apart from what (little) OpenAI may be concealing from us, we all know (roughly) how ChatGPT works (its huge text database, its statistics, its vector representations, and their hu…
The rent's too high: Self-archive for fair online publication costs
Robert T. Thibault, Amanda MacPherson, Stevan Harnad +1
The main contributors of scientific knowledge, researchers, generally aim to disseminate their findings far and wide. And yet, publishing companies have largely kept these findings…
Learning-induced categorical perception in a neural network model
Christian Thériault, Fernanda Pérez-Gay, Dan Rivas +1
In human cognition, the expansion of perceived between-category distances and compression of within-category distances is known as categorical perception (CP). There are several hy…
Category learning can alter perception and its neural correlates
Fernanda Pérez-Gay, Tomy Sicotte, Christian Thériault +1
Learned Categorical Perception (CP) occurs when the members of different categories come to look more dissimilar (between-category separation) and/or members of the same category c…