3 citations · 8 across the 6 of their papers we have counts for
6 papers
Learning a Hierarchical Planner from Humans in Multiple Generations
Leonardo Hernandez Cano, Yewen Pu, Robert D. Hawkins +2
A typical way in which a machine acquires knowledge from humans is by programming. Compared to learning from demonstrations or experiences, programmatic learning allows the machine…
Causal interventions expose implicit situation models for commonsense language understanding
Takateru Yamakoshi, James L. McClelland, Adele E. Goldberg +1
Accounts of human language processing have long appealed to implicit ``situation models'' that enrich comprehension with relevant but unstated world knowledge. Here, we apply causa…
Overinformative Question Answering by Humans and Machines
Polina Tsvilodub, Michael Franke, Robert D. Hawkins +1
When faced with a polar question, speakers often provide overinformative answers going beyond a simple "yes" or "no". But what principles guide the selection of additional informat…
Semantic uncertainty guides the extension of conventions to new referents
Ron Eliav, Anya Ji, Yoav Artzi +1
A long tradition of studies in psycholinguistics has examined the formation and generalization of ad hoc conventions in reference games, showing how newly acquired conventions for…
Linguistic communication as (inverse) reward design
Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho +2
Natural language is an intuitive and expressive way to communicate reward information to autonomous agents. It encompasses everything from concrete instructions to abstract descrip…
Visual resemblance and communicative context constrain the emergence of graphical conventions
Robert D. Hawkins, Megumi Sano, Noah D. Goodman +1
From photorealistic sketches to schematic diagrams, drawing provides a versatile medium for communicating about the visual world. How do images spanning such a broad range of appea…