Tomer D. Ullman

73 papers A* 6B 33Journal 27Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Human-Like Coarse Object Representations in Vision Models. CoRR Andrey Gizdov, Andrea Procopio, Yichen Li, Daniel Harari, Tomer D. Ullman
2025	J	`jnl`	Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering. CoRR Eric J. Bigelow, Daniel Wurgaft, YingQiao Wang, Noah D. Goodman, Tomer D. Ullman, Hidenori Tanaka, Ekdeep Singh Lubana
2025	J	`jnl`	Chain of Time: In-Context Physical Simulation with Image Generation Models. CoRR YingQiao Wang, Eric J. Bigelow, Boyi Li, Tomer D. Ullman
2025	J	`jnl`	Emergence of Hierarchical Emotion Organization in Large Language Models. CoRR Bo Zhao, Maya Okawa, Eric J. Bigelow, Rose Yu, Tomer D. Ullman, Ekdeep Singh Lubana, Hidenori Tanaka
2025	J	`jnl`	Inside you are many wolves: Using cognitive models to interpret value trade-offs in LLMs. CoRR Sonia K. Murthy, Rosie Zhao, Jennifer Hu, Sham M. Kakade, Markus Wulfmeier, Peng Qian, Tomer D. Ullman
2025	B	`conf`	Intuitions about prosocial backfiring: Four to seven-year olds' understanding of when helping might cause offense. CogSci Kiera Parece, Tomer D. Ullman, Laura Schulz
2025	B	`conf`	Language models assign responsibility based on actual rather than counterfactual contributions. CogSci Yang Xiang, Eric J. Bigelow, Tobias Gerstenberg, Tomer D. Ullman, Samuel Gershman
2025	B	`conf`	Making Sense of Nonsense. CogSci Jennifer Hu, Felix A. Sosa, Tomer D. Ullman
2025	—	`conf`	One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversity. NAACL (Long Papers) Sonia K. Murthy, Tomer D. Ullman, Jennifer Hu
2025	J	`jnl`	Re-evaluating Theory of Mind evaluation in large language models. CoRR Jennifer Hu, Felix Sosa, Tomer D. Ullman
2025	J	`jnl`	Shades of Zero: Distinguishing Impossibility from Inconceivability. CoRR Jennifer Hu, Felix Sosa, Tomer D. Ullman
2025	B	`conf`	Stumped! Learning to think outside the box in 3-7 year old children. CogSci Junyi Chu, Misha O'Keeffe, Silvia Kancong Liu, Elizabeth Bonawitz, Tomer D. Ullman
2025	B	`conf`	The Uncanny Valley meets the Humorous Hill: Things are funny when they match a pattern but fall short on quality. CogSci Antara Raaghavi Bhattacharya, Jennifer Hu, Tomer D. Ullman
2025	J	`jnl`	Towards aligned body representations in vision models. CoRR Andrey Gizdov, Andrea Procopio, Yichen Li, Daniel Harari, Tomer D. Ullman
2024	J	`jnl`	Approximate planning in spatial search. PLoS Comput. Biol. Marta Kryven, Suhyoun Yu, Max Kleiman-Weiner, Tomer D. Ullman, Joshua B. Tenenbaum
2024	B	`conf`	Exploring Loophole Behavior: A Comparative Study of Autistic and Non-Autistic Populations. CogSci Kiera Parece, Sophie Bridgers, Tomer D. Ullman, Laura Schulz
2024	J	`jnl`	Forking Paths in Neural Text Generation. CoRR Eric J. Bigelow, Ari Holtzman, Hidenori Tanaka, Tomer D. Ullman
2024	A*	`conf`	In-Context Learning Dynamics with Random Binary Sequences. ICLR Eric J. Bigelow, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tomer D. Ullman
2024	—	`conf`	MMToM-QA: Multimodal Theory of Mind Question Answering. ACL (1) Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu
2024	J	`jnl`	MMToM-QA: Multimodal Theory of Mind Question Answering. CoRR Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu
2024	J	`jnl`	One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversity. CoRR Sonia K. Murthy, Tomer D. Ullman, Jennifer Hu
2024	J	`jnl`	Relations, Negations, and Numbers: Looking for Logic in Generative Text-to-Image Models. CoRR Colin Conwell, Rupert Tawiah-Quashie, Tomer D. Ullman
2024	B	`conf`	Shades of Zero: Distinguishing impossibility from inconceivability. CogSci Jennifer Hu, Felix A. Sosa, Tomer D. Ullman
2024	J	`jnl`	Teaching Without Thinking: Negative Evaluations of Rote Pedagogy. Cogn. Sci. Ilona Bass, Cristian Espinoza, Elizabeth Bonawitz, Tomer D. Ullman
2024	J	`jnl`	The Illusion-Illusion: Vision Language Models See Illusions Where There are None. CoRR Tomer D. Ullman
2024	B	`conf`	The Task Task: Creative problem generation in humans and language models. CogSci Junyi Chu, Jennifer Hu, Tomer D. Ullman
2023	—	`conf`	Comparing the Evaluation and Production of Loophole Behavior in Humans and Large Language Models. EMNLP (Findings) Sonia K. Murthy, Kiera Parece, Sophie Bridgers, Peng Qian, Tomer D. Ullman
2023	J	`jnl`	In-Context Learning Dynamics with Random Binary Sequences. CoRR Eric J. Bigelow, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tomer D. Ullman
2023	J	`jnl`	Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks. CoRR Tomer D. Ullman
2023	B	`conf`	Skirting the Sacred: Moral Violations Make Intentional Misunderstandings Worse. CogSci Kiera Parece, Sophie Bridgers, Laura Schulz, Tomer D. Ullman
2022	B	`conf`	Adults' Evaluations of Rote and Reflective Teachers. CogSci Ilona Bass, Elizabeth Bonawitz, Tomer D. Ullman
2022	B	`conf`	Combining mental simulation and abstract reasoning explains people's reaction time in an intuitive physics task. CogSci Felix A. Sosa, Samuel Gershman, Tomer D. Ullman
2022	B	`conf`	People's evaluation of programs that drive agents' behavior. CogSci Eric J. Bigelow, Tomer D. Ullman
2022	—	`ed.`	Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 25th, 2022. EBeM@IJCAI José Hernández-Orallo, Lucy Cheke, Joshua B. Tenebaum, Tomer D. Ullman, Fernando Martínez-Plumed, Danaja Rutar, John Burden, Ryan Burnell, Wout Schellaert
2022	J	`jnl`	Testing Relational Understanding in Text-Guided Image Generation. CoRR Colin Conwell, Tomer D. Ullman
2022	J	`jnl`	Type theory in human-like learning and inference. CoRR Felix A. Sosa, Tomer D. Ullman
2022	J	`jnl`	What Could Go Wrong: Adults and Children Calibrate Predictions and Explanations of Others' Actions Based on Relative Reward and Danger. Cogn. Sci. Nensi Gjata, Tomer D. Ullman, Elizabeth S. Spelke, Shari Liu
2021	A*	`conf`	A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics. NeurIPS Kai Xu, Akash Srivastava, Dan Gutfreund, Felix Sosa, Tomer D. Ullman, Josh Tenenbaum, Charles Sutton
2021	A*	`conf`	AGENT: A Benchmark for Core Psychological Reasoning. ICML Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman
2021	J	`jnl`	AGENT: A Benchmark for Core Psychological Reasoning. CoRR Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman
2021	B	`conf`	Loopholes, a Window into Value Alignment and the Learning of Meaning. CogSci Sophie Bridgers, Laura Schulz, Tomer D. Ullman
2021	J	`jnl`	Plans or Outcomes: How Do We Attribute Intelligence to Others? Cogn. Sci. Marta Kryven, Tomer D. Ullman, William Cowan, Joshua B. Tenenbaum
2021	A*	`conf`	Temporal and Object Quantification Networks. IJCAI Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman
2021	J	`jnl`	Temporal and Object Quantification Networks. CoRR Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman
2021	A*	`conf`	Unsupervised Discovery of 3D Physical Objects from Video. ICLR Yilun Du, Kevin A. Smith, Tomer D. Ullman, Joshua B. Tenenbaum, Jiajun Wu
2020	B	`conf`	Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics. CogSci Tianmin Shu, Marta Kryven, Tomer D. Ullman, Josh Tenenbaum
2020	B	`conf`	Look before you leap: Quantitative tradeoffs between peril and reward in action understanding. CogSci Nensi Gjata, Tomer D. Ullman, Elizabeth S. Spelke, Shari Liu
2020	B	`conf`	The Origins of Common Sense in Humans and Machines. CogSci Kevin Smith, Eliza Kosoy, Alison Gopnik, Deepak Pathak, Alan Fern, Josh Tenenbaum, Tomer D. Ullman
2020	B	`conf`	The fine structure of surprise in intuitive physics: when, why, and how much? CogSci Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth S. Spelke, Josh Tenenbaum, Tomer D. Ullman
2020	J	`jnl`	Unsupervised Discovery of 3D Physical Objects from Video. CoRR Yilun Du, Kevin Smith, Tomer D. Ullman, Joshua B. Tenenbaum, Jiajun Wu
2019	B	`conf`	Draping an Elephant: Uncovering Children's Reasoning About Cloth-Covered Objects. CogSci Tomer D. Ullman, Eliza Kosoy, Ilker Yildirim, Amir Arsalan Soltani, Max H. Siegel, Josh Tenenbaum, Elizabeth S. Spelke
2019	A*	`conf`	Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations. NeurIPS Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth S. Spelke, Josh Tenenbaum, Tomer D. Ullman
2019	B	`conf`	People's perception of others' risk preferences. CogSci Shari Liu, John McCoy, Tomer D. Ullman
2019	J	`jnl`	Sticking to the Evidence? A Behavioral and Computational Case Study of Micro-Theory Change in the Domain of Magnetism. Cogn. Sci. Elizabeth Bonawitz, Tomer D. Ullman, Sophie Bridgers, Alison Gopnik, Joshua B. Tenenbaum
2018	B	`conf`	Models of Human Scientific Discovery. CogSci Robert L. Goldstone, Alison Gopnik, Paul Thagard, Tomer D. Ullman
2018	B	`conf`	Moral Dynamics: A Computational Model of Moral Judgment. CogSci Felix Sosa, Tomer D. Ullman, Samuel Gershman, Josh Tenenbaum, Tobias Gerstenberg
2017	—	`conf`	A Compositional Object-Based Approach to Learning Physical Dynamics. ICLR (Poster) Michael Chang, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum
2017	B	`conf`	Thinking and Guessing: Bayesian and Empirical Models of How Humans Search. CogSci Marta Kryven, Tomer D. Ullman, William Cowan, Josh Tenenbaum
2017	B	`conf`	Weight matters: The role of physical weight in non-physical language across age and culture. CogSci Tomer D. Ullman, Santiago Alonso-Diaz, Stephen Ferrigno, Sarina Zahid, Celeste Kidd
2017	B	`conf`	What's worth the effort: Ten-month-old infants infer the value of goals from the costs of actions. CogSci Shari Liu, Tomer D. Ullman, Josh Tenenbaum, Elizabeth S. Spelke
2016	J	`jnl`	A Compositional Object-Based Approach to Learning Physical Dynamics. CoRR Michael B. Chang, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum
2016	J	`jnl`	Building Machines That Learn and Think Like People. CoRR Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum, Samuel J. Gershman
2016	B	`conf`	Coalescing the Vapors of Human Experience into a Viable and Meaningful Comprehension. CogSci Tomer D. Ullman, Max H. Siegel, Josh Tenenbaum, Samuel Gershman
2016	B	`conf`	Outcome or Strategy? A Bayesian Model of Intelligence Attribution. CogSci Marta Kryven, Tomer D. Ullman, William Cowan, Josh Tenenbaum
2016	B	`conf`	The Pragmatics of Spatial Language. CogSci Tomer D. Ullman, Yang Xu, Noah D. Goodman
2014	B	`conf`	Learning physical theories from dynamical scenes. CogSci Tomer D. Ullman, Andreas Stuhlmüller, Noah D. Goodman, Joshua B. Tenenbaum
2014	B	`conf`	Wins above replacement: Responsibility attributions as counterfactual replacements. CogSci Tobias Gerstenberg, Tomer D. Ullman, Max Kleiman-Weiner, David A. Lagnado, Joshua B. Tenenbaum
2013	B	`conf`	Minimal Nativism: How does cognitive development get off the ground? CogSci Tomer D. Ullman, Joshua B. Tenenbaum, Noah D. Goodman, Shimon Ullman, Elizabeth S. Spelke
2012	B	`conf`	Computational Models of Intuitive Physics. CogSci Peter W. Battaglia, Tomer D. Ullman, Joshua B. Tenenbaum, Adam Sanborn, Kenneth D. Forbus, Tobias Gerstenberg, David A. Lagnado
2012	B	`conf`	Probabilistic generative models for counterfactual reasoning and blame attribution. CogSci John McCoy, Tomer D. Ullman, Andreas Stuhlmüller, Tobias Gerstenberg, Joshua B. Tenenbaum
2012	—	`conf`	Sticking to the Evidence? A computational and behavioral case study of micro-theory change in the domain of magnetism. ICDL-EPIROB Elizabeth Bonawitz, Tomer D. Ullman, Alison Gopnik, Joshua B. Tenenbaum
2011	B	`conf`	Forward Physics: How people learn and generalize novel dynamical models. CogSci Tomer D. Ullman, Noah D. Goodman, Josh Tenenbaum
2009	—	`conf`	Help or Hinder: Bayesian Models of Social Goal Inference. NIPS Tomer D. Ullman, Chris L. Baker, Owen Macindoe, Owain Evans, Noah D. Goodman, Joshua B. Tenenbaum