166 citations · 289 across the 3 of their papers we have counts for
3 papers
cs.AI2023★ 83 cited
Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks
Tomer Ullman
Intuitive psychology is a pillar of common-sense reasoning. The replication of this reasoning in machine intelligence is an important stepping-stone on the way to human-like artifi…
cs.CV2022★ 40 cited
Testing Relational Understanding in Text-Guided Image Generation
Colin Conwell, Tomer Ullman
Relations are basic building blocks of human cognition. Classic and recent work suggests that many relations are early developing, and quickly perceived. Machine models that aspire…
cs.AI2016★ 166 cited
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael B. Chang, Tomer Ullman, Antonio Torralba +1
We present the Neural Physics Engine (NPE), a framework for learning simulators of intuitive physics that naturally generalize across variable object count and different scene conf…