5 citations · 5 across the 3 of their papers we have counts for
6 papers
Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language
Zhimin Hu, Jeroen van Paridon, Gary Lupyan
Generic statements like "tigers are striped" and "cars have radios" communicate information that is, in general, true. However, while the first statement is true in principle, the…
Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning
Zach Studdiford, Gary Lupyan
When large language models (LLMs) fail to generalize or make haphazard errors in reasoning, it is often taken as evidence that LLMs are not truly reasoning, but rather performing a…
The Astonishing Ability of Large Language Models to Parse Jabberwockified Language
Gary Lupyan, Senyi Yang
We show that large language models (LLMs) have an astonishing ability to recover meaning from severely degraded English texts. Texts in which content words have been randomly subst…
The unreasonable effectiveness of pattern matching
Gary Lupyan, Blaise Agüera y Arcas
We report on an astonishing ability of large language models (LLMs) to make sense of "Jabberwocky" language in which most or all content words have been randomly replaced by nonsen…
Large language models have learned to use language
Gary Lupyan
Acknowledging that large language models have learned to use language can open doors to breakthrough language science. Achieving these breakthroughs may require abandoning some lon…
How important is language for human-like intelligence?
Gary Lupyan, Hunter Gentry, Martin Zettersten
We use language to communicate our thoughts. But is language merely the expression of thoughts, which are themselves produced by other, nonlinguistic parts of our minds? Or does la…