| 2025 | CogSci | Finding motifs in mental representations of faces, places, and objects. | Y. Ivette Coln, Timothy T. Rogers |
| 2025 | CogSci | Iterated LASSO reveals highly distributed and variable representations of faces, places, and objects. | Zihan Li, Y. Ivette Coln, Kushin Mukherjee, Timothy T. Rogers |
| 2025 | CogSci | AI-enhanced semantic feature norms for 786 concepts. | Siddharth Suresh, Kushin Mukherjee, Tyler Giallanza, Mia Patil, Xizheng Yu, Jonathan Cohen, Timothy T. Rogers |
| 2025 | CogSci | Triadic comparisons reveal representational motifs in human color perception. | Clementine Zimnicki, Timothy T. Rogers |
| 2025 | EMNLP | Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding. | Yun-Shiuan Chuang, Sameer Narendran, Nikunj Harlalka, Alexander Cheung, Sizhe Gao, Siddharth Suresh, Junjie Hu, Timothy T. Rogers |
| 2025 | EMNLP | Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs. | Kuan Lok Zhou, Jiayi Chen, Siddharth Suresh, Reuben Narad, Timothy T. Rogers, Lalit K. Jain, Robert D. Nowak, Bob Mankoff, Jifan Zhang |
| 2024 | CogSci | Simulating Opinion Dynamics with Networks of LLM-based Agents. | Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers |
| 2024 | CogSci | The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-based Agents. | Yun-Shiuan Chuang, Nikunj Harlalka, Siddharth Suresh, Agam Goyal, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers |
| 2024 | CogSci | The Delusional Hedge Algorithm as a Model of Human Learning from Diverse Opinions. | Yun-Shiuan Chuang, Jerry Zhu, Timothy T. Rogers |
| 2024 | CogSci | Semantic distance organizes social knowledge: Insights from semantic dementia and cross-modal conceptual space. | Y. Ivette Coln, Timothy T. Rogers, Matthew A. Lambon Ralph, Matthew Rouse |
| 2024 | CogSci | Unfolding Structure in the Drawings of Cubes. | Clint Jensen, Timothy T. Rogers, Brittany G. Travers, Heather Kirkorian, Karl S. Rosengren |
| 2024 | CogSci | Estimating human color-concept associations from multimodal language models. | Kushin Mukherjee, Timothy T. Rogers, Karen B. Schloss |
| 2024 | CogSci | Can deep convolutional networks explain the semantic structure that humans see in photographs? | Siddharth Suresh, Wei-Chun Huang, Kushin Mukherjee, Timothy T. Rogers |
| 2024 | CogSci | Learning interactions to boost human creativity with bandits and GPT-4. | Ara Vartanian, Xiaoxi Sun, Yun-Shiuan Chuang, Siddharth Suresh, Jerry Zhu, Timothy T. Rogers |
| 2024 | EMNLP | Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks. | Yun-Shiuan Chuang, Krirk Nirunwiroj, Zach Studdiford, Agam Goyal, Vincent Frigo, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers |
| 2024 | NAACL | Simulating Opinion Dynamics with Networks of LLM-based Agents. | Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers |
| 2023 | CogSci | Yours and Ours: Individual and Group Differences in Semantic Organization from Triplet Judgements of Faces. | Y. Ivette Colon, Timothy T. Rogers |
| 2023 | CogSci | Evidence for Heuristic Evidence Weighting in Real-World Beliefs. | Vincent Frigo, Timothy T. Rogers |
| 2023 | CogSci | Behavioral estimates of conceptual structure are robust across tasks in humans but not large language models. | Siddharth Suresh, Kushin Mukherjee, Lisa Padua, Timothy T. Rogers |
| 2023 | EMNLP | Conceptual structure coheres in human cognition but not in large language models. | Siddharth Suresh, Kushin Mukherjee, Xizheng Yu, Wei-Chun Huang, Lisa Padua, Timothy T. Rogers |
| 2023 | ICLR | Human-machine cooperation for semantic feature listing. | Kushin Mukherjee, Siddharth Suresh, Timothy T. Rogers |
| 2023 | ICLR | Semantic feature verification in FLAN-T5. | Siddharth Suresh, Kushin Mukherjee, Timothy T. Rogers |
| 2022 | CogSci | From Images to Symbols: Drawing as a Window into the Mind. | Kushin Mukherjee, Holly Huey, Timothy T. Rogers, Judith E. Fan |
| 2020 | CogSci | Disentangling Generativity in Visual Cognition. | Declan Campbell, Timothy T. Rogers |
| 2020 | CogSci | Positive Effects of a Developmental Period Without Control. | Rebecca L. Jackson, Matthew A. Lambon Ralph, Timothy T. Rogers |
| 2019 | CogSci | Investigating the factorial structure of widespread false beliefs. | Vincent Frigo, Timothy T. Rogers |
| 2019 | CogSci | Symbol grounding boosts transfer in addition learning. | Clint Jensen, April D. Murphy, Andrew G. Young, Martha W. Alibali, Timothy T. Rogers, Chuck Kalish |
| 2019 | CogSci | Understanding interactions amongst cognitive control, learning and representation. | Sebastian Musslick, Abigail Novick Hoskin, Taylor W. Webb, Steven Frankland, Jonathan D. Cohen, Rebecca L. Jackson, Matthew A. Lambon Ralph, Lang Chen, Timothy T. Rogers, Randall C. O'Reilly, Alexander A. Petrov |
| 2018 | CogSci | The other Fox News effect: Attractive people and women more strongly impact belief formation. | Vincent Frigo, Timothy T. Rogers |
| 2018 | CogSci | Children regularize object shape but not object color in visual recognition tasks. | Clint Jensen, Timothy T. Rogers, Vanessa R. Simmering |
| 2018 | CogSci | For Teaching Perceptual Fluency, Machines Beat Human Experts. | Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Jerry Zhu |
| 2018 | EDM | Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice. | Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Xiaojin Zhu |
| 2017 | CogSci | LUCID science: Advancing learning through human-machine cooperation. | Timothy T. Rogers, Charles Kalish |
| 2016 | CogSci | Modeling the Influence of Knowledge on Recognition: Connecting visual recognition behavior across development to PDP computational models of semantic knowledge. | Clint Jensen, Vanessa R. Simmering, Timothy T. Rogers |
| 2016 | CogSci | An interactive model accounts for both ultra-rapid superordinate classification and basic-level advantage in object recognition. | Qihong Lu, Timothy T. Rogers |
| 2016 | ICML | Representational Similarity Learning with Application to Brain Networks. | Urvashi Oswal, Christopher R. Cox, Matthew A. Lambon Ralph, Timothy T. Rogers, Robert D. Nowak |
| 2015 | CogSci | Connecting learning, memory, and representation in math education. | Martha W. Alibali, Chuck Kalish, Timothy T. Rogers, Christine M. Massey, Philip J. Kellman, Vladimir M. Sloutsky, James L. McClelland, Kevin W. Mickey |
| 2015 | CogSci | What causes category-shifting in human semi-supervised learning? | Bryan R. Gibson, Timothy T. Rogers, Chuck Kalish, Xiaojin Zhu |
| 2015 | CogSci | Beyond Magnitude: How Math Expertise Guides Number Representation. | April D. Murphy, Timothy T. Rogers, Edward Hubbard, Autumn Brower |
| 2013 | ICML | Learning from Human-Generated Lists. | Kwang-Sung Jun, Xiaojin (Jerry) Zhu, Burr Settles, Timothy T. Rogers |
| 2012 | CogSci | Knowing where to look: Conceptual knowledge guides fixation in an object categorization task. | Lang Chen, Timothy T. Rogers |
| 2011 | AAAI | Co-Training as a Human Collaboration Policy. | Xiaojin Zhu, Bryan R. Gibson, Timothy T. Rogers |
| 2010 | ICML | Cognitive Models of Test-Item Effects in Human Category Learning. | Xiaojin Zhu, Bryan R. Gibson, Kwang-Sung Jun, Timothy T. Rogers, Joseph Harrison, Chuck Kalish |
| 2007 | AAAI | Humans Perform Semi-Supervised Classification Too. | Xiaojin Zhu, Timothy T. Rogers, Ruichen Qian, Chuck Kalish |