| 2026 | CHI | Before the Technological Fix: Scoping AI and AAC for Social Futures. | Seray B. Ibrahim, Tom Griffiths, Michael Clarke, Simon Judge, Petr Slovk, Graham Pullin, Jeff Higginbotham |
| 2025 | CogSci | Discovering Hidden Laws in Innovation by Recombination. | Bonan Zhao, Elizabeth Mieczkowski, Dilip Arumugam, Natalia Vlez, Tom Griffiths |
| 2025 | CogSci | Improving Interpersonal Communication by Simulating Audiences with Large Language Models. | Ryan Liu, Howard Yen, Raja Marjieh, Tom Griffiths, Ranjay Krishna |
| 2025 | CogSci | Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks. | Gianluca M. Bencomo, Max Gupta, Ioana Marinescu, R. Thomas McCoy, Tom Griffiths |
| 2025 | CogSci | Generation and Evaluation in the Human Invention Process through the Lens of Game Design. | Katherine M. Collins, Graham Todd, Cedegao E. Zhang, Adrian Weller, Julian Togelius, Junyi Chu, Lionel Wong, Tom Griffiths, Joshua B. Tenenbaum |
| 2025 | CogSci | Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation. | Max Gupta, Sunayana Rane, R. Thomas McCoy, Tom Griffiths |
| 2025 | CogSci | Exploring resource-rational planning under time pressure in online chess. | Ionatan Kuperwajs, Evan M. Russek, Lisa Schut, Yotam Sagiv, Marcelo G. Mattar, Wei Ji Ma, Tom Griffiths |
| 2025 | CogSci | The role of language in human and machine intelligence. | Gary Lupyan, Sean Trott, Martin Zettersten, Hunter Gentry, Tom Griffiths, Anna A. Ivanova |
| 2025 | CogSci | Characterizing the Interaction of Cultural Evolution Mechanisms in Experimental Social Networks. | Raja Marjieh, Manuel Anglada-Tort, Tom Griffiths, Nori Jacoby |
| 2025 | CogSci | A Normative Account of Specialization: How Task and Environment Shape Role Differentiation in Collaboration. | Elizabeth Mieczkowski, Ruaridh Mon-Williams, Neil R. Bramley, Christopher Guy Lucas, Natalia Vlez, Tom Griffiths |
| 2025 | CogSci | Understanding Task Representations in Neural Networks via Bayesian Ablation. | Andrew Nam, Declan I. Campbell, Tom Griffiths, Jonathan Cohen, Sarah-Jane Leslie |
| 2025 | CogSci | Learning in online chess increases with more time spent thinking and diversity of experience. | Lisa Schut, Evan M. Russek, Ionatan Kuperwajs, Marcelo G. Mattar, Wei Ji Ma, Tom Griffiths |
| 2025 | CogSci | Learning a Doubly-Exponential Number of Concepts From Few Examples. | Ilia Sucholutsky, Bonan Zhao, Hee Seung Hwang, Allison Chen, Olga Russakovsky, Tom Griffiths |
| 2025 | CogSci | Trade-Offs Between Tasks Induced by Capacity Constraints Bound the Scope of Intelligence. | Cameron Rouse Turner, Dilip Arumugam, Logan Nelson, Tom Griffiths |
| 2025 | CogSci | Meta-reasoning: Deciding which game to play, which problem to solve, and when to quit. | Lionel Wong, Tracey Mills, Ionatan Kuperwajs, Katherine M. Collins, Tom Griffiths |
| 2025 | CogSci | Reasoning Across Minds and Machines. | Hanbo Xie, Jian-Qiao Zhu, Huadong Xiong, Robert C. Wilson, Tom Griffiths |
| 2025 | CogSci | Eliciting the Priors of Large Language Models using Iterated In-Context Learning. | Jian-Qiao Zhu, Tom Griffiths |
| 2024 | AAAI | Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract). | Ruiqi He, Carlos G. Correa, Tom Griffiths, Mark K. Ho |
| 2024 | CogSci | A Rational Model of Innovation by Recombination. | Bonan Zhao, Natalia Vlez, Tom Griffiths |
| 2024 | CogSci | Reaching Consensus through Theory of Mind in Social Networks with Locally Distributed Interactions. | Daphne Barretto, Raja Marjieh, Tom Griffiths |
| 2024 | CogSci | Human-Like Geometric Abstraction in Large Pre-trained Neural Networks. | Declan I. Campbell, Sreejan Kumar, Tyler Giallanza, Jonathan Cohen, Tom Griffiths |
| 2024 | CogSci | Analyzing the Roles of Language and Vision in Learning from Limited Data. | Allison Chen, Ilia Sucholutsky, Olga Russakovsky, Tom Griffiths |
| 2024 | CogSci | Program-Based Strategy Induction for Reinforcement Learning. | Carlos G. Correa, Tom Griffiths, Nathaniel D. Daw |
| 2024 | CogSci | Modeling Cognitive Strategies in Teaching: Integrating Theory of Mind and Heuristics. | Sevan K. Harootonian, Yael Niv, Tom Griffiths, Mark K. Ho |
| 2024 | CogSci | Higher cognition in large language models. | Nicholas Ichien, Sudeep Bhatia, Anna A. Ivanova, Taylor W. Webb, Tom Griffiths, Marcel Binz |
| 2024 | CogSci | Comparing Abstraction in Humans and Machines Using Multimodal Serial Reproduction. | Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Tom Griffiths |
| 2024 | CogSci | Publish or Perish: Simulating the Impact of Publication Policies on Science. | Marina Mancoridis, Theodore R. Sumers, Tom Griffiths |
| 2024 | CogSci | Distilling Symbolic Priors for Concept Learning into Neural Networks. | Ioana Marinescu, R. Thomas McCoy, Tom Griffiths |
| 2024 | CogSci | A Rational Analysis of the Speech-to-Song Illusion. | Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Harin Lee, Tom Griffiths, Nori Jacoby |
| 2024 | CogSci | Many Hands Don't Always Make Light Work: Explaining Social Loafing via Multiprocessing Efficiency. | Elizabeth Mieczkowski, Cameron Rouse Turner, Natalia Vlez, Tom Griffiths |
| 2024 | CogSci | Studying the Effect of Globalization on Color Perception using Multilingual Online Recruitment and Large Language Models. | Jakob Pete Niedermann, Ilia Sucholutsky, Raja Marjieh, Elif elen, Tom Griffiths, Nori Jacoby, Pol van Rijn |
| 2024 | CogSci | A Rational Model of Vigilance in Motivated Communication. | Kerem Oktar, Theodore R. Sumers, Tom Griffiths |
| 2024 | CogSci | Concept Alignment as a Prerequisite for Value Alignment. | Sunayana Rane, Mark K. Ho, Ilia Sucholutsky, Tom Griffiths |
| 2024 | CogSci | Can Generative Multimodal Models Count to Ten? | Sunayana Rane, Alexander Ku, Jason Baldridge, Ian Tenney, Tom Griffiths, Been Kim |
| 2024 | CogSci | Modeling the Contributions of Capacity and Control to Working Memory Development. | Evan M. Russek, Cameron Rouse Turner, Emma McEwen, Andreea Miruna Miscov, Amanda Seed, Tom Griffiths |
| 2024 | CogSci | Using Compositionality to Learn Many Categories from Few Examples. | Ilia Sucholutsky, Bonan Zhao, Tom Griffiths |
| 2024 | CogSci | The Influence of Social Information and Presentation Interface on Aesthetic Evaluations. | Yoko Urano, Raja Marjieh, Tom Griffiths, Nori Jacoby |
| 2024 | CogSci | Analyzing the Benefits of Prototypes for Semi-Supervised Category Learning. | Liyi Zhang, Logan Nelson, Tom Griffiths |
| 2024 | CogSci | Incoherent Probability Judgments in Large Language Models. | Jian-Qiao Zhu, Tom Griffiths |
| 2024 | CogSci | Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo. | Jian-Qiao Zhu, Haijiang Yan, Tom Griffiths |
| 2023 | CogSci | Large language models meet cognitive science: LLMs as tools, models, and participants. | Mathew D. Hardy, Ilia Sucholutsky, Bill Thompson, Tom Griffiths |
| 2023 | CogSci | What Language Reveals about Perception: Distilling Psychophysical Knowledge from Large Language Models. | Raja Marjieh, Ilia Sucholutsky, Pol van Rijn, Nori Jacoby, Tom Griffiths |
| 2023 | CogSci | To each their own theory: Exploring the limits of individual differences in decisions under risk. | Joshua C. Peterson, Marina Mancoridis, Tom Griffiths |
| 2023 | CogSci | Predicting Word Learning in Children from the Performance of Computer Vision Systems. | Sunayana Rane, Mira L. Nencheva, Zeyu Wang, Casey Lew-Williams, Olga Russakovsky, Tom Griffiths |
| 2023 | CogSci | The joint evolution of sensory systems and decision policy allows cognition. | Cameron Rouse Turner, Thomas J. H. Morgan, Tom Griffiths |
| 2023 | CogSci | Comparing Human Predictions from Expert Advice to On-line Optimization Algorithms. | Feng Xia, Jian-Qiao Zhu, Tom Griffiths |
| 2023 | CogSci | Computation-Limited Bayesian Updating. | Jian-Qiao Zhu, Adam Sanborn, Nick Chater, Tom Griffiths |
| 2022 | CogSci | Can Humans Do Less-Than-One-Shot Learning? | Maya Malaviya, Ilia Sucholutsky, Kerem Oktar, Tom Griffiths |
| 2022 | CogSci | Predicting Human Similarity Judgments Using Large Language Models. | Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers, Nori Jacoby, Tom Griffiths |
| 2022 | ICML | Distinguishing rule and exemplar-based generalization in learning systems. | Ishita Dasgupta, Erin Grant, Tom Griffiths |
| 2021 | CogSci | The Dynamics of Exemplar and Prototype Representations Depend on Environmental Statistics. | Arjun Devraj, Qiong Zhang, Tom Griffiths |
| 2021 | CogSci | Modeling rules and similarity in colexification. | Sammy Floyd, Kavindya Dalawella, Adele Goldberg, Casey Lew-Williams, Tom Griffiths |
| 2021 | CogSci | Respect the code: Speakers expect novel conventions to generalize within but not across social group boundaries. | Robert D. Hawkins, Irina Liu, Adele Goldberg, Tom Griffiths |
| 2021 | CogSci | Mutual Exclusivity as Competition in Cross-situational Word Learning. | Zahra Shekarchi, Aida Nematzadeh, Tom Griffiths, Suzanne Stevenson |
| 2021 | CogSci | Extending rational models of communication from beliefs to actions. | Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Tom Griffiths |
| 2021 | CogSci | Are Convolutional Neural Networks or Transformers more like human vision? | Shikhar Tuli, Ishita Dasgupta, Erin Grant, Tom Griffiths |
| 2021 | CogSci | A Rational Account of Anchor Effects in Hindsight Bias. | Samarie A. Wilson, Somya Arora, Qiong Zhang, Tom Griffiths |
| 2021 | ICML | Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment. | Michael Chang, Sidhant Kaushik, Sergey Levine, Tom Griffiths |
| 2020 | CogSci | Analogy as Nonparametric Bayesian Inference over Relational Systems. | Ruairidh M. Battleday, Tom Griffiths |
| 2020 | CogSci | Optimal nudging. | Frederick Callaway, Mathew D. Hardy, Tom Griffiths |
| 2020 | CogSci | Resource-rational Task Decomposition to Minimize Planning Costs. | Carlos G. Correa, Mark K. Ho, Frederick Callaway, Tom Griffiths |
| 2020 | CogSci | Population-level amplification of perceptual bias. | Mathew D. Hardy, Bill Thompson, Peter M. Krafft, Tom Griffiths |
| 2020 | CogSci | 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 |
| 2020 | CogSci | Investigating the Behavior of Malicious Actors Through the Game of Mafia. | Samee Ibraheem, Vael Gates, John DeNero, Tom Griffiths |
| 2020 | CogSci | A rational model of sequential self-assessment. | Rachel Jansen, Anna N. Rafferty, Tom Griffiths |
| 2020 | CogSci | Extracting low-dimensional psychological representations from convolutional neural networks. | Aditi Jha, Joshua C. Peterson, Tom Griffiths |
| 2020 | CogSci | Downloading Culture.zip: Social learning by program induction. | Max Kleiman-Weiner, Felix Sosa, Bill Thompson, Sebastiaan van Opheusden, Tom Griffiths, Samuel Gershman, Fiery Cushman |
| 2020 | CogSci | Universal linguistic inductive biases via meta-learning. | Richard Thomas McCoy, Erin Grant, Paul Smolensky, Tom Griffiths, Tal Linzen |
| 2020 | CogSci | End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior. | Pulkit Singh, Joshua C. Peterson, Ruairidh M. Battleday, Tom Griffiths |
| 2020 | CogSci | Workshop on Scaling Cognitive Science. | Jordan W. Suchow, Tom Griffiths, Joshua K. Hartshorne |
| 2020 | CogSci | Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation. | Theodore R. Sumers, Mark K. Ho, Tom Griffiths |
| 2020 | CogSci | The method of loci is an optimal policy for memory search. | Qiong Zhang, Kenneth A. Norman, Tom Griffiths |
| 2020 | ICML | Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions. | Michael Chang, Sidhant Kaushik, S. Matthew Weinberg, Tom Griffiths, Sergey Levine |
| 2019 | CogSci | Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning. | Mayank Agrawal, Joshua C. Peterson, Tom Griffiths |
| 2019 | CogSci | Compositional subgoal representations. | Carlos G. Correa, Frederick Callaway, Mark K. Ho, Tom Griffiths |
| 2019 | CogSci | Human-level but not human-like: Deep Reinforcement Learning in the dark. | Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Alyosha A. Efros, Tom Griffiths |
| 2019 | CogSci | If it's important, then I am curious: A value intervention to induce curiosity. | Rachit Dubey, Tom Griffiths, Tania Lombrozo |
| 2019 | CogSci | Learning deep taxonomic priors for concept learning from few positive examples. | Erin Grant, Joshua C. Peterson, Tom Griffiths |
| 2019 | CogSci | Demonstrating the Impact of Prior Knowledge in Risky Choice. | Mathew D. Hardy, Tom Griffiths |
| 2019 | CogSci | The Computational Structure of Unintentional Meaning. | Mark K. Ho, Joanna Korman, Tom Griffiths |
| 2019 | CogSci | Automated cognitive modeling with Bayesian active model selection. | Vishal Lall, Jordan W. Suchow, Gustavo Malkomes, Tom Griffiths |
| 2019 | CogSci | Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproduction. | Thomas A. Langlois, Nori Jacoby, Jordan W. Suchow, Tom Griffiths |
| 2019 | CogSci | Extending Rationality. | Emmanuel M. Pothos, Jerome R. Busemeyer, Timothy J. Pleskac, James M. Yearsley, Josh Tenenbaum, Noah D. Goodman, Michael Henry Tessler, Tom Griffiths, Falk Lieder, Ralph Hertwig, Thorsten Pachur, Christina Leuker, Richard M. Shiffrin |
| 2019 | CogSci | Modeling students' fraction arithmetic strategies using inverse planning. | Anna N. Rafferty, Rachel Jansen, Tom Griffiths |
| 2019 | CogSci | Inductive Biases Constrain Cumulative Cultural Evolution. | Bill Thompson, Tom Griffiths |
| 2018 | CogSci | Recommendation as Generalization: Evaluating Cognitive Models In the Wild. | David Bourgin, Joshua T. Abbott, Tom Griffiths |
| 2018 | CogSci | A resource-rational analysis of human planning. | Frederick Callaway, Falk Lieder, Priyam Das, Sayan Gul, Paul M. Krueger, Tom Griffiths |
| 2018 | CogSci | A new similarity measure to reveal individual differences and growth in implicit number conceptions. | Rachel Jansen, Ruthe Foushee, Tom Griffiths |
| 2018 | CogSci | Modeling the Dunning-Kruger Effect: A Rational Account of Inaccurate Self-Assessment. | Rachel Jansen, Anna N. Rafferty, Tom Griffiths |
| 2018 | CogSci | Levels of Analysis in Computational Social Science. | Peter M. Krafft, Tom Griffiths |
| 2018 | CogSci | Shaping Model-Free Habits with Model-Based Goals. | Paul M. Krueger, Tom Griffiths |
| 2018 | CogSci | Interpersonal Coordination of Perception and Memory in Real-Time Online Social Interaction. | Alexandra Paxton, Thomas J. H. Morgan, Jordan W. Suchow, Tom Griffiths |
| 2018 | CogSci | Capturing human category representations by sampling in deep feature spaces. | Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi, Alexander Y. Ku, Tom Griffiths |
| 2018 | CogSci | Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels. | Joshua C. Peterson, Paul Soulos, Aida Nematzadeh, Tom Griffiths |
| 2018 | CogSci | Representational efficiency outweighs action efficiency in human program induction. | Sophia Sanborn, David Bourgin, Michael Chang, Tom Griffiths |
| 2018 | CogSci | Learning a face space for experiments on human identity. | Jordan W. Suchow, Joshua C. Peterson, Tom Griffiths |
| 2018 | ICLR | Capturing Human Category Representations by Sampling in Deep Feature Spaces. | Joshua C. Peterson, Krisha Aghi, Jordan W. Suchow, Alexander Y. Ku, Tom Griffiths |
| 2018 | ICML | Investigating Human Priors for Playing Video Games. | Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Tom Griffiths, Alexei A. Efros |
| 2017 | CogSci | Modeling human categorization of natural images using deep feature representations. | Ruairidh M. Battleday, Joshua C. Peterson, Tom Griffiths |
| 2017 | CogSci | The Structure of Goal Systems Predicts Human Performance. | David Bourgin, Falk Lieder, Daniel Reichman, Nimrod Talmon, Tom Griffiths |
| 2017 | CogSci | Discovering simple heuristics from mental simulation. | Frederick Callaway, Jessica B. Hamrick, Tom Griffiths |
| 2017 | CogSci | Evaluating vector-space models of analogy. | Dawn Chen, Joshua C. Peterson, Tom Griffiths |
| 2017 | CogSci | A rational analysis of curiosity. | Rachit Dubey, Tom Griffiths |
| 2017 | CogSci | Exploring inductive bias of visual scenes. | Jessica B. Hamrick, David Bourgin, Thomas A. Langlois, Tom Griffiths |
| 2017 | CogSci | Algebra is not like trivia: Evaluating self-assessment in an online math tutor. | Rachel Jansen, Anna N. Rafferty, Tom Griffiths |
| 2017 | CogSci | Enhancing metacognitive reinforcement learning using reward structures and feedback. | Paul M. Krueger, Falk Lieder, Tom Griffiths |
| 2017 | CogSci | An automatic method for discovering rational heuristics for risky choice. | Falk Lieder, Paul M. Krueger, Tom Griffiths |
| 2017 | CogSci | Inferring Intentional Agents From Violation of Randomness. | Yuan Meng, Tom Griffiths, Fei Xu |
| 2016 | CogSci | Lexical Complexity of Child-Directed and Overheard Speech: Implications for Learning. | Ruthe Foushee, Tom Griffiths, Mahesh Srinivasan |
| 2016 | CogSci | The Emergence of Conventions. | Robert X. D. Hawkins, Noah D. Goodman, Olga Feher, Kenny Smith, Robert L. Goldstone, Tom Griffiths |
| 2016 | CogSci | Helping people make better decisions using optimal gamification. | Falk Lieder, Tom Griffiths |
| 2016 | CogSci | Do Simple Probability Judgments Rely on Integer Approximation? | Shaun O'Grady, Tom Griffiths, Fei Xu |
| 2016 | CogSci | Deciding to Remember: Memory Maintenance as a Markov Decision Process. | Jordan W. Suchow, Tom Griffiths |