Robert D. Hawkins

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 31

Top Topics

Hierarchical Bayesian Model

Language Understanding

Social Learning

Top Venues

Publications

Alicia M. Chen, Andrew Palacci, Natalia Vélez, Robert D. Hawkins, Samuel J. Gershman
A Hierarchical Bayesian Model of Adaptive Teaching. Cogn. Sci. 48 (7) (2024)
Robert L. Goldstone, Edgar J. Andrade-Lotero, Robert D. Hawkins, Michael E. Roberts
The Emergence of Specialized Roles Within Groups. Top. Cogn. Sci. 16 (2) (2024)
Takateru Yamakoshi, James L. McClelland, Adele E. Goldberg, Robert D. Hawkins
Causal interventions expose implicit situation models for commonsense language understanding. CoRR (2023)
Polina Tsvilodub, Michael Franke, Robert D. Hawkins, Noah D. Goodman
Overinformative Question Answering by Humans and Machines. CogSci (2023)
Felix Jedidja Binder, Logan Matthew Cross, Yoni Friedman, Robert D. Hawkins, Daniel L. K. Yamins, Judith E. Fan
Advancing Cognitive Science and AI with Cognitive-AI Benchmarking. CogSci (2023)
Ron Eliav, Anya Ji, Yoav Artzi, Robert D. Hawkins
Semantic uncertainty guides the extension of conventions to new referents. CoRR (2023)
Takateru Yamakoshi, James L. McClelland, Adele E. Goldberg, Robert D. Hawkins
Causal interventions expose implicit situation models for commonsense language understanding. ACL (Findings) (2023)
Polina Tsvilodub, Michael Franke, Robert D. Hawkins, Noah D. Goodman
Overinformative Question Answering by Humans and Machines. CoRR (2023)
Leonardo Hernandez Cano, Yewen Pu, Robert D. Hawkins, Joshua B. Tenenbaum, Armando Solar-Lezama
Learning a Hierarchical Planner from Humans in Multiple Generations. CoRR (2023)
Naomi Vaida, Susan T. Fiske, Robert D. Hawkins
Same situation, different goals: Exploring how people construct stories from streams of experience. CogSci (2023)
Ron Eliav, Anya Ji, Yoav Artzi, Robert D. Hawkins
Semantic uncertainty guides the extension of conventions to new referents. CogSci (2023)
Robert D. Hawkins, Andrew M. Berdahl, Alex 'Sandy' Pentland, Joshua B. Tenenbaum, Noah D. Goodman, P. M. Krafft
Flexible social inference facilitates targeted social learning when rewards are not observable. CoRR (2022)
Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Jonathan D. Cohen, Nathaniel D. Daw, Karthik Narasimhan, Tom Griffiths
Using natural language and program abstractions to instill human inductive biases in machines. NeurIPS (2022)
Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths, Dylan Hadfield-Menell
Linguistic communication as (inverse) reward design. CoRR (2022)
Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths, Dylan Hadfield-Menell
How to talk so your robot will learn: Instructions, descriptions, and pragmatics. CoRR (2022)
Takateru Yamakoshi, Robert D. Hawkins, Thomas L. Griffiths
Probing BERT's priors with serial reproduction chains. CoRR (2022)
Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Joshua B. Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan
Identifying concept libraries from language about object structure. CoRR (2022)
Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert D. Hawkins, Yoav Artzi
Abstract Visual Reasoning with Tangram Shapes. CoRR (2022)
Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Tom Griffiths, Dylan Hadfield-Menell
How to talk so AI will learn: Instructions, descriptions, and autonomy. NeurIPS (2022)
Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Josh Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan
Identifying concept libraries from language about object structure. CogSci (2022)
Veronica Boyce, Robert D. Hawkins, Noah D. Goodman, Michael C. Frank
Two's company but six is a crowd: emergence of conventions in multiparty communication games. CogSci (2022)
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
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. CoRR (2022)
Takateru Yamakoshi, Thomas L. Griffiths, Robert D. Hawkins
Probing BERT's priors with serial reproduction chains. ACL (Findings) (2022)
Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert D. Hawkins, Yoav Artzi
Abstract Visual Reasoning with Tangram Shapes. EMNLP (2022)
William P. McCarthy, Robert D. Hawkins, Haoliang Wang, Cameron Holdaway, Judith E. Fan
Learning to communicate about shared procedural abstractions. CoRR (2021)
Robert D. Hawkins, Irina Liu, Adele Goldberg, Tom Griffiths
Respect the code: Speakers expect novel conventions to generalize within but not across social group boundaries. CogSci (2021)
William P. McCarthy, Robert D. Hawkins, Haoliang Wang, Cameron Holdaway, Judith E. Fan
Learning to communicate about shared procedural abstractions. CogSci (2021)
Abhilasha Ashok Kumar, Ketika Garg, Robert D. Hawkins
Contextual Flexibility Guides Communication in a Cooperative Language Game. CogSci (2021)
Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Tom Griffiths
Extending rational models of communication from beliefs to actions. CogSci (2021)
Samuel A. Barnett, Robert D. Hawkins, Thomas L. Griffiths
A pragmatic account of the weak evidence effect. CoRR (2021)
Robert D. Hawkins, Megumi Sano, Noah D. Goodman, Judith E. Fan
Visual resemblance and communicative context constrain the emergence of graphical conventions. CoRR (2021)