91 citations · 135 across the 3 of their papers we have counts for
3 papers
Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models
Anna A. Ivanova, Aalok Sathe, Benjamin Lipkin +17
The ability to build and reason about models of the world is essential for situated language understanding. But evaluating world modeling capabilities in modern AI systems -- espec…
Language models align with human judgments on key grammatical constructions
Jennifer Hu, Kyle Mahowald, Gary Lupyan +2
Do large language models (LLMs) make human-like linguistic generalizations? Dentella et al. (2023) ("DGL") prompt several LLMs ("Is the following sentence grammatically correct in…
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…