439 citations · 503 across the 16 of their papers we have counts for
3 papers · 1 filter
Informational Antilocality and the Locality Bias in LLMs
Andrew McInnerney, Shane Storks, Steven Abney +1
We consider the ability of transformer-based language models (LLMs) to learn what we call k-antilocal languages, i.e., languages that have no mutual information across any span of…
Conflict and Congruency Effects in Large Language Models: In-Weight and In-Context Competition in a Verbal Conflict Task
Xiaoyang Hu, Mike Angstadt, Shane Storks +5
Congruency effects, observed in conflict tasks such as Stroop and flanker tasks, have been investigated for nearly a century in psychology and neuroscience, but their mechanistic b…
Cognitive Convergence: Deep Similarities Between Large Language Models and Human Cognition
Chandra Sripada, Richard Lewis
LLMs are widely regarded as alien intelligences, systems whose cognitive operations are fundamentally unlike our own. Apparent similarities to human cognition are therefore often s…