4 papers
AYO: A Safe and Privacy-Preserving Platform for Studying Children's Interaction with LLMs
Huiwen Alex Yang, Rachel Skwersky, Bill D. Thompson +1
Children and adolescents are increasingly interacting with generative AI and large language models (LLMs), yet little is known about how these interactions may influence their deve…
Preservation and loss of algorithmic structure in experimental diffusion of joint-action norms
Dhara Yu, Bill D. Thompson
Everyday norms of social interaction - e.g. norms of sharing space, taking turns, or queuing - are essential to large societies, offering structured procedures for common interacti…
Hypothesis-guided discovery of cognitive algorithms via program refinement
Huiwen Alex Yang, Mark K. Ho, Bill D. Thompson
Developing cognitive models of algorithmic reasoning from behavioral data is a central problem in cognitive science that challenges current methods. Traditional approaches to cogni…
Representing expertise accelerates learning from pedagogical interaction data
Dhara Yu, Karthikeya Kaushik, Bill D. Thompson
Work in cognitive science and artificial intelligence has suggested that exposing learning agents to traces of interaction between multiple individuals can improve performance in a…