| 2025 | CogSci | Seeing Things Differently: The Role of Differing Perspectives in Advice-Taking. | Aakriti Kumar, Ren-Hui Michelle Tham, Mark Steyvers |
| 2025 | CogSci | The Importance of Metacognitive Sensitivity in Human-AI Decision-Making. | ZhaoBin Li, Mark Steyvers |
| 2025 | CogSci | A Cognitive Framework for Timely AI Communication. | Mark Steyvers, Lukas William Mayer, Jackie Ayoub |
| 2025 | ICML | Bayesian Inference for Correlated Human Experts and Classifiers. | Markelle Kelly, Alex James Boyd, Samuel Showalter, Mark Steyvers, Padhraic Smyth |
| 2024 | AISTATS | Bayesian Online Learning for Consensus Prediction. | Samuel Showalter, Alex J. Boyd, Padhraic Smyth, Mark Steyvers |
| 2024 | CogSci | Prosocial Acts Towards AI Shaped By Reciprocation And Awareness. | Xinyue Hu, Kumar Akash, Shashank Mehrotra, Teruhisa Misu, Mark Steyvers |
| 2024 | EMNLP | Perceptions of Linguistic Uncertainty by Language Models and Humans. | Catarina G. Belm, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth |
| 2023 | CogSci | Help me help you: A computational model for goal inference and action planning. | Abhilasha Ashok Kumar, Mark Steyvers |
| 2023 | HRI | When Do Drivers Intervene In Autonomous Driving? | Aakriti Kumar, Kumar Akash, Shashank Mehrotra, Teruhisa Misu, Mark Steyvers |
| 2021 | AAAI | Active Bayesian Assessment of Black-Box Classifiers. | Disi Ji, Robert L. Logan IV, Padhraic Smyth, Mark Steyvers |
| 2021 | CogSci | The Funny Thing About Algorithm Aversion: Investigating Bias Toward AI Humor. | Alexander H. Bower, Mark Steyvers |
| 2021 | CogSci | Explaining Algorithm Aversion with Metacognitive Bandits. | Aakriti Kumar, Trisha Patel, Aaron S. Benjamin, Mark Steyvers |
| 2020 | CogSci | An Aha! Walks into a Bar: Joke Completion as a Form of Insight Problem Solving. | Alexander H. Bower, Mark Steyvers |
| 2019 | CogSci | An Insight into Language: Investigating Lexical and Morphological Effects in Compound Remote Associate Problem Solving. | Alexander H. Bower, Andrew Burton, Mark Steyvers, William H. Batchelder |
| 2019 | CogSci | Distant Concept Connectivity in Network-Based and Spatial Word Representations. | Abhilasha Ashok Kumar, David A. Balota, Mark Steyvers |
| 2019 | CogSci | A Picture is Worth 7.17 Words: Learning Categories from Examples and Definitions. | Arsenii Moskvichev, Roman Tikhonov, Mark Steyvers |
| 2019 | CogSci | It's not the treasure, it's the hunt: Children are more explorative on an explore/exploit task than adults. | Emily S. Sumner, Mark Steyvers, Barbara W. Sarnecka |
| 2019 | IJCAI | SAGE: A Hybrid Geopolitical Event Forecasting System. | Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andrs Abeliuk, Mehrnoosh Mirtaheri, K. S. M. Tozammel Hossain, Pedro A. Szekely, Emilio Ferrara, Akira Matsui, Mark Steyvers, Stephen Bennett, David V. Budescu, Mark Himmelstein, Michael D. Ward, Andreas Beger, Michele Catasta, Rok Sosic, Jure Leskovec, Pavel Atanasov, Regina Joseph, Rajiv Sethi, Ali E. Abbas |
| 2017 | CogSci | A Bayesian model of knowledge and metacognitive control: Applications to opt-in tasks. | Stephen Bennett, Aaron S. Benjamin, Mark Steyvers |
| 2017 | CogSci | Leveraging Response Consistency within Individuals to Improve Group Accuracy for Rank-Ordering Problems. | Brent Miller, Mark Steyvers |
| 2015 | CogSci | The Roles of Knowledge and Memory in Generating Top-10 Lists. | Michael D. Lee, Emily Liu, Mark Steyvers |
| 2014 | CogSci | A Hierarchical Adaptive Approach to the Optimal Design of Experiments. | Woojae Kim, Mark A. Pitt, Zhong-Lin Lu, Mark Steyvers, Hairong Gu, Jay I. Myung |
| 2013 | CogSci | Inferring Subjective Prior Knowledge: An Integrative Bayesian Approach. | Sean Tauber, Mark Steyvers |
| 2012 | CogSci | Route choice in individuals - semantic network navigation. | Nicole Beckage, Mark Steyvers, Carter T. Butts |
| 2011 | CogSci | A Model-Based Approach to Measuring Expertise in Ranking Tasks. | Michael D. Lee, Mark Steyvers, Mindy de Young, Brent Miller |
| 2011 | CogSci | The Wisdom of Crowds with Communication. | Brent Miller, Mark Steyvers |
| 2011 | CogSci | A Model of Concept Generalization and Feature Representation in Hierarchies. | Timothy N. Rubin, Matthew D. Zeigenfuse, Mark Steyvers |
| 2011 | CogSci | Using Inverse Planning and Theory of Mind for Social Goal Inference. | Sean Tauber, Mark Steyvers |
| 2008 | CIKM | Combining concept hierarchies and statistical topic models. | Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers |
| 2006 | ISI | Analyzing Entities and Topics in News Articles Using Statistical Topic Models. | David Newman, Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers |
| 2004 | KDD | Probabilistic author-topic models for information discovery. | Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, Thomas Griffiths |
| 2004 | UAI | The Author-Topic Model for Authors and Documents. | Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth |