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ORCIDRobert D. Hawkins
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- affiliation: Princeton University, NJ, USA
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Journal Articles
- 2024
[j4]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): 257-281 (2024)- 2021
- [j3]Robert X. D. Hawkins, Hyowon Gweon, Noah D. Goodman:
The Division of Labor in Communication: Speakers Help Listeners Account for Asymmetries in Visual Perspective. Cogn. Sci. 45(3) (2021) - 2020
- [j2]Robert X. D. Hawkins, Michael C. Frank
, Noah D. Goodman:
Characterizing the Dynamics of Learning in Repeated Reference Games. Cogn. Sci. 44(6) (2020) - 2017
- [j1]Will Monroe, Robert X. D. Hawkins, Noah D. Goodman, Christopher Potts:
Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding. Trans. Assoc. Comput. Linguistics 5: 325-338 (2017)
Conference and Workshop Papers
- 2023
- [c35]Takateru Yamakoshi, James L. McClelland, Adele Goldberg, Robert D. Hawkins:
Causal interventions expose implicit situation models for commonsense language understanding. ACL (Findings) 2023: 13265-13293 - [c34]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 - [c33]Ron Eliav, Anya Ji, Yoav Artzi, Robert D. Hawkins:
Semantic uncertainty guides the extension of conventions to new referents. CogSci 2023 - [c32]Polina Tsvilodub, Michael Franke, Robert D. Hawkins, Noah D. Goodman:
Overinformative Question Answering by Humans and Machines. CogSci 2023 - [c31]Naomi Vaida, Susan T. Fiske, Robert D. Hawkins:
Same situation, different goals: Exploring how people construct stories from streams of experience. CogSci 2023 - 2022
- [c30]Takateru Yamakoshi, Thomas L. Griffiths, Robert D. Hawkins:
Probing BERT's priors with serial reproduction chains. ACL (Findings) 2022: 3977-3992 - [c29]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 - [c28]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 - [c27]Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert D. Hawkins, Yoav Artzi:
Abstract Visual Reasoning with Tangram Shapes. EMNLP 2022: 582-601 - [c26]Julia White, Noah D. Goodman, Robert X. D. Hawkins:
Mixed-effects transformers for hierarchical adaptation. EMNLP 2022: 3944-3954 - [c25]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 - [c24]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 - 2021
- [c23]Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths:
Learning Rewards From Linguistic Feedback. AAAI 2021: 6002-6010 - [c22]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 - [c21]Abhilasha Ashok Kumar, Ketika Garg, Robert D. Hawkins:
Contextual Flexibility Guides Communication in a Cooperative Language Game. CogSci 2021 - [c20]William P. McCarthy, Robert D. Hawkins, Haoliang Wang, Cameron Holdaway, Judith E. Fan:
Learning to communicate about shared procedural abstractions. CogSci 2021 - [c19]Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Tom Griffiths:
Extending rational models of communication from beliefs to actions. CogSci 2021 - [c18]Julia White, Gabriel Poesia, Robert X. D. Hawkins, Dorsa Sadigh, Noah D. Goodman:
Open-domain clarification question generation without question examples. EMNLP (1) 2021: 563-570 - 2020
- [c17]Robert X. D. Hawkins, Noah D. Goodman, Adele E. Goldberg, Tom Griffiths:
Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks. CogSci 2020 - [c16]Ashley C. Leung, Robert X. D. Hawkins, Dan Yurovsky:
Parents scaffold the formation of conversational pacts with their children. CogSci 2020 - [c15]Robert X. D. Hawkins, Minae Kwon, Dorsa Sadigh, Noah D. Goodman:
Continual Adaptation for Efficient Machine Communication. CoNLL 2020: 408-419 - [c14]Robert X. D. Hawkins, Takateru Yamakoshi, Thomas L. Griffiths, Adele E. Goldberg:
Investigating representations of verb bias in neural language models. EMNLP (1) 2020: 4653-4663 - 2019
- [c13]Josh de Leeuw, Janet K. Andrews, Kenneth R. Livingston, Michael Franke, Joshua K. Hartshorne, Robert X. D. Hawkins, Jordan Wagge:
Using replication studies to teach research methods in cognitive science. CogSci 2019: 5-6 - [c12]Robert X. D. Hawkins, Megumi Sano, Noah D. Goodman, Judith W. Fan:
Disentangling contributions of visual information and interaction history in the formation of graphical conventions. CogSci 2019: 415-421 - [c11]Kushin Mukherjee, Robert X. D. Hawkins, Judith W. Fan:
Communicating semantic part information in drawings. CogSci 2019: 2413-2419 - [c10]Panos Achlioptas, Leonidas J. Guibas, Noah D. Goodman, Judy Fan, Robert X. D. Hawkins:
Shapeglot: Learning Language for Shape Differentiation. ICCV 2019: 8937-8946 - 2018
- [c9]Robert X. D. Hawkins, Michael Franke, Kenny Smith, Noah D. Goodman:
Emerging abstractions: Lexical conventions are shaped by communicative context. CogSci 2018 - 2017
- [c8]Robert X. D. Hawkins, Mike Frank, Noah D. Goodman:
Convention-formation in iterated reference games. CogSci 2017 - [c7]Elisa Kreiss, Robert X. D. Hawkins, Judith Degen, Noah D. Goodman:
Mentioning atypical properties of objects is communicatively efficient. CogSci 2017 - 2016
- [c6]Caroline Graf, Judith Degen, Robert X. D. Hawkins, Noah D. Goodman:
Animal, dog, or dalmatian? Level of abstraction in nominal referring expressions. CogSci 2016 - [c5]Robert X. D. Hawkins, Noah D. Goodman:
Conversational expectations account for apparent limits on theory of mind use. CogSci 2016 - [c4]Robert X. D. Hawkins, Noah D. Goodman, Olga Feher, Kenny Smith, Robert L. Goldstone, Tom Griffiths:
The Emergence of Conventions. CogSci 2016 - 2015
- [c3]Robert X. D. Hawkins, Andreas Stuhlmüller, Judith Degen, Noah D. Goodman:
Why do you ask? Good questions provoke informative answers. CogSci 2015 - [c2]Peter M. Krafft, Robert X. D. Hawkins, Alex Pentland, Noah D. Goodman, Joshua B. Tenenbaum:
Emergent Collective Sensing in Human Groups. CogSci 2015 - 2013
- [c1]Robert X. D. Hawkins, Robert L. Goldstone:
Real-Time Strategy: Multi-Level Dynamics in an Uncertain Environment. CogSci 2013
Informal and Other Publications
- 2023
- [i30]Ron Eliav, Anya Ji, Yoav Artzi, Robert D. Hawkins:
Semantic uncertainty guides the extension of conventions to new referents. CoRR abs/2305.06539 (2023) - [i29]Polina Tsvilodub, Michael Franke, Robert D. Hawkins, Noah D. Goodman:
Overinformative Question Answering by Humans and Machines. CoRR abs/2305.07151 (2023) - [i28]Takateru Yamakoshi, James L. McClelland, Adele E. Goldberg, Robert D. Hawkins:
Causal interventions expose implicit situation models for commonsense language understanding. CoRR abs/2306.03882 (2023) - [i27]Leonardo Hernandez Cano, Yewen Pu, Robert D. Hawkins, Joshua B. Tenenbaum, Armando Solar-Lezama:
Learning a Hierarchical Planner from Humans in Multiple Generations. CoRR abs/2310.11614 (2023) - 2022
- [i26]Takateru Yamakoshi, Robert D. Hawkins, Thomas L. Griffiths:
Probing BERT's priors with serial reproduction chains. CoRR abs/2202.12226 (2022) - [i25]Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths, Dylan Hadfield-Menell:
Linguistic communication as (inverse) reward design. CoRR abs/2204.05091 (2022) - [i24]Julia White, Noah D. Goodman, Robert X. D. Hawkins:
Mixed-effects transformers for hierarchical adaptation. CoRR abs/2205.01749 (2022) - [i23]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 abs/2205.05666 (2022) - [i22]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 abs/2205.11558 (2022) - [i21]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 abs/2206.07870 (2022) - [i20]Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert D. Hawkins, Yoav Artzi:
Abstract Visual Reasoning with Tangram Shapes. CoRR abs/2211.16492 (2022) - [i19]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 abs/2212.00869 (2022) - 2021
- [i18]Robert X. D. Hawkins, Michael Franke, Michael C. Frank, Kenny Smith, Thomas L. Griffiths, Noah D. Goodman:
From partners to populations: A hierarchical Bayesian account of coordination and convention. CoRR abs/2104.05857 (2021) - [i17]Sonia K. Murthy, Robert X. D. Hawkins, Thomas L. Griffiths:
Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task. CoRR abs/2105.06546 (2021) - [i16]Theodore R. Sumers, Robert X. D. Hawkins, Mark K. Ho, Thomas L. Griffiths:
Extending rational models of communication from beliefs to actions. CoRR abs/2105.11950 (2021) - [i15]William P. McCarthy, Robert D. Hawkins, Haoliang Wang, Cameron Holdaway, Judith E. Fan:
Learning to communicate about shared procedural abstractions. CoRR abs/2107.00077 (2021) - [i14]Robert D. Hawkins, Megumi Sano, Noah D. Goodman, Judith E. Fan:
Visual resemblance and communicative context constrain the emergence of graphical conventions. CoRR abs/2109.13861 (2021) - [i13]Julia White, Gabriel Poesia, Robert X. D. Hawkins, Dorsa Sadigh, Noah D. Goodman:
Open-domain clarification question generation without question examples. CoRR abs/2110.09779 (2021) - [i12]Samuel A. Barnett, Robert D. Hawkins, Thomas L. Griffiths:
A pragmatic account of the weak evidence effect. CoRR abs/2112.03799 (2021) - 2020
- [i11]Robert X. D. Hawkins, Noah D. Goodman, Adele E. Goldberg, Thomas L. Griffiths:
Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks. CoRR abs/2002.01510 (2020) - [i10]Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths:
Learning Rewards from Linguistic Feedback. CoRR abs/2009.14715 (2020) - [i9]Robert X. D. Hawkins, Takateru Yamakoshi, Thomas L. Griffiths, Adele E. Goldberg:
Investigating representations of verb bias in neural language models. CoRR abs/2010.02375 (2020) - 2019
- [i8]Judith W. Fan, Robert X. D. Hawkins, Mike Wu, Noah D. Goodman:
Pragmatic inference and visual abstraction enable contextual flexibility during visual communication. CoRR abs/1903.04448 (2019) - [i7]Judith Degen, Robert X. D. Hawkins, Caroline Graf, Elisa Kreiss, Noah D. Goodman:
When redundancy is rational: A Bayesian approach to 'overinformative' referring expressions. CoRR abs/1903.08237 (2019) - [i6]Panos Achlioptas, Judy Fan, Robert X. D. Hawkins, Noah D. Goodman, Leonidas J. Guibas:
ShapeGlot: Learning Language for Shape Differentiation. CoRR abs/1905.02925 (2019) - [i5]Robert X. D. Hawkins, Minae Kwon, Dorsa Sadigh, Noah D. Goodman:
Continual adaptation for efficient machine communication. CoRR abs/1911.09896 (2019) - [i4]Robert X. D. Hawkins, Michael C. Frank, Noah D. Goodman:
Characterizing the dynamics of learning in repeated reference games. CoRR abs/1912.07199 (2019) - 2018
- [i3]Robert X. D. Hawkins, Hyowon Gweon, Noah D. Goodman:
Speakers account for asymmetries in visual perspective so listeners don't have to. CoRR abs/1807.09000 (2018) - 2017
- [i2]Will Monroe, Robert X. D. Hawkins, Noah D. Goodman, Christopher Potts:
Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding. CoRR abs/1703.10186 (2017) - 2015
- [i1]Andreas Stuhlmüller, Robert X. D. Hawkins, N. Siddharth, Noah D. Goodman:
Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs. CoRR abs/1509.02962 (2015)
Coauthor Index
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