Real-Time Strategy: Multi-Level Dynamics in an Uncertain Environment. - Robert X. D. Hawkins; Robert L. Goldstone (CogSci, 2013)

Why do you ask? Good questions provoke informative answers. - Robert X. D. Hawkins; Andreas Stuhlmüller; Judith Degen; Noah D. Goodman (CogSci, 2015)

Emergent Collective Sensing in Human Groups. - Peter M. Krafft; Robert X. D. Hawkins; Alex Pentland; Noah D. Goodman; Joshua B. Tenenbaum (CogSci, 2015)

Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs. - Andreas Stuhlmüller; Robert X. D. Hawkins; N. Siddharth 001; Noah D. Goodman (CoRR, 2015)

Animal, dog, or dalmatian? Level of abstraction in nominal referring expressions. - Caroline Graf; Judith Degen; Robert X. D. Hawkins; Noah D. Goodman (CogSci, 2016)

Conversational expectations account for apparent limits on theory of mind use. - Robert X. D. Hawkins; Noah D. Goodman (CogSci, 2016)

The Emergence of Conventions. - Robert X. D. Hawkins; Noah D. Goodman; Olga Feher; Kenny Smith; Robert L. Goldstone; Tom Griffiths 001 (CogSci, 2016)

Convention-formation in iterated reference games. - Robert X. D. Hawkins; Mike Frank; Noah D. Goodman (CogSci, 2017)

Mentioning atypical properties of objects is communicatively efficient. - Elisa Kreiss; Robert X. D. Hawkins; Judith Degen; Noah D. Goodman (CogSci, 2017)

Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding. - Will Monroe; Robert X. D. Hawkins; Noah D. Goodman; Christopher Potts (Trans. Assoc. Comput. Linguistics, 2017)

Emerging abstractions: Lexical conventions are shaped by communicative context. - Robert X. D. Hawkins; Michael Franke; Kenny Smith; Noah D. Goodman (CogSci, 2018)

Speakers account for asymmetries in visual perspective so listeners don't have to. - Robert X. D. Hawkins; Hyowon Gweon; Noah D. Goodman (CoRR, 2018)

Disentangling contributions of visual information and interaction history in the formation of graphical conventions. - Robert X. D. Hawkins; Megumi Sano; Noah D. Goodman; Judith W. Fan (CogSci, 2019)

Using replication studies to teach research methods in cognitive science. - Josh de Leeuw; Janet K. Andrews; Kenneth R. Livingston; Michael Franke; Joshua K. Hartshorne; Robert X. D. Hawkins; Jordan Wagge (CogSci, 2019)

Communicating semantic part information in drawings. - Kushin Mukherjee; Robert X. D. Hawkins; Judith W. Fan (CogSci, 2019)

Shapeglot: Learning Language for Shape Differentiation. - Panos Achlioptas; Leonidas J. Guibas; Noah D. Goodman; Judy Fan; Robert X. D. Hawkins (ICCV, 2019)

Pragmatic inference and visual abstraction enable contextual flexibility during visual communication. - Judith W. Fan; Robert X. D. Hawkins; Mike Wu; Noah D. Goodman (CoRR, 2019)

When redundancy is rational: A Bayesian approach to 'overinformative' referring expressions. - Judith Degen; Robert X. D. Hawkins; Caroline Graf; Elisa Kreiss; Noah D. Goodman (CoRR, 2019)

Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks. - Robert X. D. Hawkins; Noah D. Goodman; Adele E. Goldberg; Tom Griffiths 001 (CogSci, 2020)

Parents scaffold the formation of conversational pacts with their children. - Ashley C. Leung; Robert X. D. Hawkins; Dan Yurovsky (CogSci, 2020)

Continual Adaptation for Efficient Machine Communication. - Robert X. D. Hawkins; Minae Kwon; Dorsa Sadigh; Noah D. Goodman (CoNLL, 2020)

Investigating representations of verb bias in neural language models. - Robert X. D. Hawkins; Takateru Yamakoshi; Thomas L. Griffiths 001; Adele E. Goldberg (EMNLP (1), 2020)

Characterizing the Dynamics of Learning in Repeated Reference Games. - Robert X. D. Hawkins; Michael C. Frank; Noah D. Goodman (Cogn. Sci., 2020)

Learning Rewards From Linguistic Feedback. - Theodore R. Sumers; Mark K. Ho; Robert X. D. Hawkins; Karthik Narasimhan; Thomas L. Griffiths 001 (AAAI, 2021)

Respect the code: Speakers expect novel conventions to generalize within but not across social group boundaries. - Robert D. Hawkins; Irina Liu; Adele Goldberg 002; Tom Griffiths 001 (CogSci, 2021)

Contextual Flexibility Guides Communication in a Cooperative Language Game. - Abhilasha Ashok Kumar; Ketika Garg; Robert D. Hawkins (CogSci, 2021)

Learning to communicate about shared procedural abstractions. - William P. McCarthy; Robert D. Hawkins; Haoliang Wang; Cameron Holdaway; Judith E. Fan (CogSci, 2021)

Extending rational models of communication from beliefs to actions. - Theodore R. Sumers; Robert D. Hawkins; Mark K. Ho; Tom Griffiths 001 (CogSci, 2021)

Open-domain clarification question generation without question examples. - Julia White 001; Gabriel Poesia; Robert X. D. Hawkins; Dorsa Sadigh; Noah D. Goodman (EMNLP (1), 2021)

The Division of Labor in Communication: Speakers Help Listeners Account for Asymmetries in Visual Perspective. - Robert X. D. Hawkins; Hyowon Gweon; Noah D. Goodman (Cogn. Sci., 2021)

From partners to populations: A hierarchical Bayesian account of coordination and convention. - Robert X. D. Hawkins; Michael Franke; Michael C. Frank; Kenny Smith; Thomas L. Griffiths 001; Noah D. Goodman (CoRR, 2021)

Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task. - Sonia K. Murthy; Robert X. D. Hawkins; Thomas L. Griffiths 001 (CoRR, 2021)

Visual resemblance and communicative context constrain the emergence of graphical conventions. - Robert D. Hawkins; Megumi Sano; Noah D. Goodman; Judith E. Fan (CoRR, 2021)

A pragmatic account of the weak evidence effect. - Samuel A. Barnett; Robert D. Hawkins; Thomas L. Griffiths 001 (CoRR, 2021)

Probing BERT's priors with serial reproduction chains. - Takateru Yamakoshi; Thomas L. Griffiths 001; Robert D. Hawkins (ACL (Findings), 2022)

Two's company but six is a crowd: emergence of conventions in multiparty communication games. - Veronica Boyce; Robert D. Hawkins; Noah D. Goodman; Michael C. Frank (CogSci, 2022)

Identifying concept libraries from language about object structure. - Catherine Wong; William P. McCarthy; Gabriel Grand; Yoni Friedman; Josh Tenenbaum 001; Jacob Andreas; Robert D. Hawkins; Judith E. Fan (CogSci, 2022)

Mixed-effects transformers for hierarchical adaptation. - Julia White 001; Noah D. Goodman; Robert X. D. Hawkins (EMNLP, 2022)

Abstract Visual Reasoning with Tangram Shapes. - Anya Ji; Noriyuki Kojima; Noah Rush; Alane Suhr; Wai Keen Vong; Robert D. Hawkins; Yoav Artzi (EMNLP, 2022)

Using natural language and program abstractions to instill human inductive biases in machines. - Sreejan Kumar; Carlos G. Correa; Ishita Dasgupta 001; Raja Marjieh; Michael Y. Hu; Robert D. Hawkins; Jonathan D. Cohen 003; Nathaniel D. Daw; Karthik Narasimhan; Tom Griffiths 001 (NeurIPS, 2022)

How to talk so AI will learn: Instructions, descriptions, and autonomy. - Theodore R. Sumers; Robert D. Hawkins; Mark K. Ho; Tom Griffiths 001; Dylan Hadfield-Menell (NeurIPS, 2022)

Linguistic communication as (inverse) reward design. - Theodore R. Sumers; Robert D. Hawkins; Mark K. Ho; Thomas L. Griffiths 001; Dylan Hadfield-Menell (CoRR, 2022)

How to talk so your robot will learn: Instructions, descriptions, and pragmatics. - Theodore R. Sumers; Robert D. Hawkins; Mark K. Ho; Thomas L. Griffiths 001; Dylan Hadfield-Menell (CoRR, 2022)

Flexible social inference facilitates targeted social learning when rewards are not observable. - Robert D. Hawkins; Andrew M. Berdahl; Alex 'Sandy' Pentland; Joshua B. Tenenbaum; Noah D. Goodman; P. M. Krafft (CoRR, 2022)

Causal interventions expose implicit situation models for commonsense language understanding. - Takateru Yamakoshi; James L. McClelland; Adele Goldberg 002; Robert D. Hawkins (ACL (Findings), 2023)

Advancing Cognitive Science and AI with Cognitive-AI Benchmarking. - Felix Jedidja Binder; Logan Matthew Cross; Yoni Friedman; Robert D. Hawkins; Daniel L. K. Yamins; Judith E. Fan (CogSci, 2023)

Semantic uncertainty guides the extension of conventions to new referents. - Ron Eliav; Anya Ji; Yoav Artzi; Robert D. Hawkins (CogSci, 2023)

Overinformative Question Answering by Humans and Machines. - Polina Tsvilodub; Michael Franke; Robert D. Hawkins; Noah D. Goodman (CogSci, 2023)

Same situation, different goals: Exploring how people construct stories from streams of experience. - Naomi Vaida; Susan T. Fiske; Robert D. Hawkins (CogSci, 2023)

Learning a Hierarchical Planner from Humans in Multiple Generations. - Leonardo Hernandez Cano; Yewen Pu; Robert D. Hawkins; Joshua B. Tenenbaum; Armando Solar-Lezama (CoRR, 2023)

The Emergence of Specialized Roles Within Groups. - Robert L. Goldstone; Edgar J. Andrade-Lotero; Robert D. Hawkins; Michael E. Roberts (Top. Cogn. Sci., 2024)

A Hierarchical Bayesian Model of Adaptive Teaching. - Alicia M. Chen; Andrew Palacci; Natalia Vélez; Robert D. Hawkins; Samuel J. Gershman (Cogn. Sci., 2024)

Using LLMs to Advance the Cognitive Science of Collectives. - Ilia Sucholutsky; Katherine M. Collins; Nori Jacoby; Bill D. Thompson; Robert D. Hawkins (CoRR, 2025)

Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering. - Polina Tsvilodub; Robert D. Hawkins; Michael Franke (CoRR, 2025)

Comparing human and LLM politeness strategies in free production. - Haoran Zhao; Robert D. Hawkins (CoRR, 2025)

Minding the Politeness Gap in Cross-cultural Communication. - Yuka Machino; Matthias Hofer 002; Max H. Siegel; Joshua B. Tenenbaum; Robert D. Hawkins (CoRR, 2025)