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researcher

T. Ullman

9 papers hereh-index 233.2k citations112 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author3
  • last author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.AI6
  • cs.CV1
  • cs.LG1
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

activity
20162024
most citedA Compositional Object-Based Approach to Learning Physical Dynamics

166 citations · 326 across the 9 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.AI2023

In-Context Learning Dynamics with Random Binary Sequences

Eric J. Bigelow, Ekdeep Singh Lubana, Robert P. Dick +2

Large language models (LLMs) trained on huge corpora of text datasets demonstrate intriguing capabilities, achieving state-of-the-art performance on tasks they were not explicitly…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.