Ullman, Tomer

12 publications

ICLR 2025 Forking Paths in Neural Text Generation Eric J Bigelow, Ari Holtzman, Hidenori Tanaka, Tomer Ullman
NeurIPSW 2024 Emergence of Hierarchical Emotion Representations in Large Language Models Bo Zhao, Maya Okawa, Eric J Bigelow, Rose Yu, Tomer Ullman, Hidenori Tanaka
ICLR 2024 In-Context Learning Dynamics with Random Binary Sequences Eric J Bigelow, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tomer Ullman
ICLRW 2023 A Comprehensive Benchmark of Human-like Relational Reasoning for Text-to-Image Foundation Models Colin Conwell, Tomer Ullman
ICMLW 2023 Comparing the Evaluation and Production of Loophole Behavior in Children and Large Language Models Sonia Krishna Murthy, Sophie Bridgers, Kiera Maria Parece, Elena Glassman, Tomer Ullman
NeurIPSW 2023 MMToM-QA: Multimodal Theory of Mind Question Answering Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu
NeurIPSW 2023 Subjective Randomness and In-Context Learning Eric J Bigelow, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tomer Ullman
NeurIPS 2021 A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics Kai Xu, Akash Srivastava, Dan Gutfreund, Felix Sosa, Tomer Ullman, Josh Tenenbaum, Charles A. Sutton
ICML 2021 AGENT: A Benchmark for Core Psychological Reasoning Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin Smith, Shari Liu, Dan Gutfreund, Elizabeth Spelke, Joshua Tenenbaum, Tomer Ullman
ICLR 2021 Unsupervised Discovery of 3D Physical Objects from Video Yilun Du, Kevin A. Smith, Tomer Ullman, Joshua B. Tenenbaum, Jiajun Wu
NeurIPS 2019 Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth Spelke, Josh Tenenbaum, Tomer Ullman
NeurIPS 2009 Help or Hinder: Bayesian Models of Social Goal Inference Tomer Ullman, Chris Baker, Owen Macindoe, Owain Evans, Noah Goodman, Joshua B. Tenenbaum