53 citations · 92 across the 5 of their papers we have counts for
6 papers
Inductive reasoning in humans and large language models
Simon J. Han, Keith Ransom, Andrew Perfors +1
The impressive recent performance of large language models has led many to wonder to what extent they can serve as models of general intelligence or are similar to human cognition.…
Perceptual grouping explains constellations across cultures
Charles Kemp, Duane W. Hamacher, Daniel R. Little +1
Cultures around the world organise stars into constellations, or asterisms, and these groupings are often considered to be arbitrary and culture-specific. Yet there are striking si…
Semantic categories of artifacts and animals reflect efficient coding
Noga Zaslavsky, Terry Regier, Naftali Tishby +1
It has been argued that semantic categories across languages reflect pressure for efficient communication. Recently, this idea has been cast in terms of a general information-theor…
Efficient human-like semantic representations via the Information Bottleneck principle
Noga Zaslavsky, Charles Kemp, Terry Regier +1
Maintaining efficient semantic representations of the environment is a major challenge both for humans and for machines. While human languages represent useful solutions to this pr…
Color naming reflects both perceptual structure and communicative need
Noga Zaslavsky, Charles Kemp, Naftali Tishby +1
Gibson et al. (2017) argued that color naming is shaped by patterns of communicative need. In support of this claim, they showed that color naming systems across languages support…
Structured Priors for Structure Learning
Vikash Mansinghka, Charles Kemp, Thomas Griffiths +1
Traditional approaches to Bayes net structure learning typically assume little regularity in graph structure other than sparseness. However, in many cases, we expect more systemati…