| When redundancy is useful: A Bayesian approach to 'overinformative' referring expressions J Degen, RD Hawkins, C Graf, E Kreiss, ND Goodman Psychological Review 127 (4), 591–621, 2020 | 172* | 2020 |
| Colors in context: A pragmatic neural model for grounded language understanding W Monroe, RD Hawkins, ND Goodman, C Potts Transactions of the Association for Computational Linguistics 5, 325–338, 2017 | 144 | 2017 |
| The emergence of social norms and conventions RD Hawkins, ND Goodman, RL Goldstone Trends in Cognitive Sciences 23 (2), 158-169, 2019 | 130 | 2019 |
| ShapeGlot: Learning language for shape differentiation P Achlioptas, JE Fan, RD Hawkins, ND Goodman, LJ Guibas ICCV, 2019 | 97 | 2019 |
| From partners to populations: A hierarchical Bayesian account of coordination and convention RD Hawkins, M Franke, MC Frank, AE Goldberg, K Smith, TL Griffiths, ... Psychological Review 130 (4), 977–1016, 2023 | 87* | 2023 |
| Path ensembles and a tradeoff between communication efficiency and resilience in the human connectome A Avena-Koenigsberger, B Mišić, RD Hawkins, A Griffa, P Hagmann, ... Brain Structure and Function 222 (1), 603-618, 2017 | 86 | 2017 |
| Bootstrap methods for the empirical study of decision-making and information flows in social systems S DeDeo, RD Hawkins, S Klingenstein, T Hitchcock Entropy 15 (6), 2246-2276, 2013 | 79 | 2013 |
| The division of labor in communication: Speakers help listeners account for asymmetries in visual perspective RD Hawkins, H Gweon, ND Goodman Cognitive Science 45 (3), e12926, 2021 | 66* | 2021 |
| Characterizing the dynamics of learning in repeated reference games RD Hawkins, MC Frank, ND Goodman Cognitive Science 44 (6), e12845, 2020 | 65 | 2020 |
| Shared functional specialization in transformer-based language models and the human brain S Kumar, TR Sumers, T Yamakoshi, A Goldstein, U Hasson, KA Norman, ... Nature Communications 15, 5523, 2024 | 57* | 2024 |
| Features of response times: Identification of cognitive mechanisms through mathematical modeling D Algom, A Eidels, RD Hawkins, B Jefferson, JT Townsend The Oxford Handbook of Computational and Mathematical Psychology, 63-98, 2015 | 57 | 2015 |
| Why do you ask? Good questions provoke informative answers. RD Hawkins, A Stuhlmüller, J Degen, ND Goodman Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015 | 57* | 2015 |
| Learning rewards from linguistic feedback TR Sumers, MK Ho, RD Hawkins, K Narasimhan, TL Griffiths AAAI, 2021 | 56 | 2021 |
| Improving the replicability of psychological science through pedagogy RD Hawkins*, EN Smith*, C Au, JM Arias, R Catapano, E Hermann, ... Advances in Methods and Practices in Psychological Science 1 (1), 7–18, 2018 | 56 | 2018 |
| Pragmatic inference and visual abstraction enable contextual flexibility during visual communication JE Fan, RD Hawkins, M Wu, ND Goodman Computational Brain & Behavior 3 (1), 86–101, 2020 | 54 | 2020 |
| Conducting real-time multiplayer experiments on the web RD Hawkins Behavior Research Methods 47 (4), 966-976, 2015 | 53 | 2015 |
| Convention-formation in iterated reference games RD Hawkins, M Frank, ND Goodman Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017 | 46 | 2017 |
| Using natural language and program abstractions to instill human inductive biases in machines S Kumar, CG Correa, I Dasgupta, R Marjieh, MY Hu, RD Hawkins, ... NeurIPS, 2022 | 38 | 2022 |
| Abstract visual reasoning with tangram shapes A Ji, N Kojima, N Rush, A Suhr, WK Vong, RD Hawkins, Y Artzi EMNLP, 2022 | 37 | 2022 |
| The formation of social conventions in real-time environments RD Hawkins, RL Goldstone PLoS ONE 11 (3), 1-14, 2016 | 37 | 2016 |
Noah D. GoodmanStanford UniversityVerified email at stanford.edu
