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Robert D. Hawkins

Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines



Sreejan Kumar , Carlos G. Correa , Ishita Dasgupta , Raja Marjieh , Michael Y. Hu , Robert D. Hawkins , Nathaniel D. Daw , Jonathan D. Cohen , Karthik Narasimhan , Thomas L. Griffiths

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Identifying concept libraries from language about object structure



Catherine Wong , William P. McCarthy , Gabriel Grand , Yoni Friedman , Joshua B. Tenenbaum , Jacob Andreas , Robert D. Hawkins , Judith E. Fan

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* Appears in the conference proceedings of CogSci 2022 
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Linguistic communication as (inverse) reward design



Theodore R. Sumers , Robert D. Hawkins , Mark K. Ho , Thomas L. Griffiths , Dylan Hadfield-Menell

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* 6 pages, 3 figures. Accepted at Learning from Natural Language Supervision workshop (ACL 2022) 
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Probing BERT's priors with serial reproduction chains



Takateru Yamakoshi , Thomas L. Griffiths , Robert D. Hawkins

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* Findings of ACL 2022 
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A pragmatic account of the weak evidence effect



Samuel A. Barnett , Robert D. Hawkins , Thomas L. Griffiths

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* Under review 
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Visual resemblance and communicative context constrain the emergence of graphical conventions



Robert D. Hawkins , Megumi Sano , Noah D. Goodman , Judith E. Fan

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* 26 pages; 8 figures; submitted version of manuscript 
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Learning to communicate about shared procedural abstractions



William P. McCarthy , Robert D. Hawkins , Haoliang Wang , Cameron Holdaway , Judith E. Fan

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Extending rational models of communication from beliefs to actions



Theodore R. Sumers , Robert D. Hawkins , Mark K. Ho , Thomas L. Griffiths

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* 7 pages, 4 figures. Proceedings for the 43rd Annual Meeting of the Cognitive Science Society 
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Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task



Sonia K. Murthy , Robert D. Hawkins , Thomas L. Griffiths

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* under review 
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