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Developmental Trajectories of Situation Modeling and Mentalizing in Transformer Language Models
Pamela D. Rivière, Cameron Jones, Sean Trott
Recent work suggests that Large Language Models (LLMs) are sensitive to the belief states of agents described by text, as measured by the false belief task (FBT), yet persistent co…
How Open Must Language Models be to Enable Reliable Scientific Inference?
James A. Michaelov, Catherine Arnett, Tyler A. Chang +7
How does the extent to which a model is open or closed impact the scientific inferences that can be drawn from research that involves it? In this paper, we analyze how restrictions…
Language Statistics and False Belief Reasoning: Evidence from 41 Open-Weight LMs
Sean Trott, Samuel Taylor, Cameron Jones +2
Research on mental state reasoning in language models (LMs) has the potential to inform theories of human social cognition--such as the theory that mental state reasoning emerges i…
Capacity Constraints and the Multilingual Penalty for Lexical Disambiguation
Sean Trott, Pamela D. Rivière
Multilingual language models (LMs) sometimes under-perform their monolingual counterparts, possibly due to capacity limitations. We quantify this ``multilingual penalty'' for lexic…