91 citations · 123 across the 3 of their papers we have counts for
4 papers
What Are Large Language Models Mapping to in the Brain? A Case Against Over-Reliance on Brain Scores
Ebrahim Feghhi, Nima Hadidi, Bryan Song +2
Given the remarkable capabilities of large language models (LLMs), there has been a growing interest in evaluating their similarity to the human brain. One approach towards quantif…
Dissociating language and thought in large language models
Kyle Mahowald, Anna A. Ivanova, Idan A. Blank +3
Large Language Models (LLMs) have come closest among all models to date to mastering human language, yet opinions about their linguistic and cognitive capabilities remain split. He…
Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings
Gabriel Grand, Idan Asher Blank, Francisco Pereira +1
The words of a language reflect the structure of the human mind, allowing us to transmit thoughts between individuals. However, language can represent only a subset of our rich and…
The Natural Stories Corpus
Richard Futrell, Edward Gibson, Hal Tily +4
It is now a common practice to compare models of human language processing by predicting participant reactions (such as reading times) to corpora consisting of rich naturalistic li…