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cs.CL2026
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…
cs.CL2026
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…
cs.CL2023
Characterizing tradeoffs between teaching via language and demonstrations in multi-agent systems
Dhara Yu, Noah D. Goodman, Jesse Mu
Humans teach others about the world through language and demonstration. When might one of these modalities be more effective than the other? In this work, we study the factors that…