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2208.02914
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Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind
4 August 2022
Tan Zhi-Xuan
Nishad Gothoskar
Falk Pollok
Dan Gutfreund
J. Tenenbaum
Vikash K. Mansinghka
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Papers citing
"Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind"
9 / 9 papers shown
Title
Machine Theory of Mind and the Structure of Human Values
Paul de Font-Reaulx
5
0
0
24 May 2025
From Infants to AI: Incorporating Infant-like Learning in Models Boosts Efficiency and Generalization in Learning Social Prediction Tasks
Shify Treger
Shimon Ullman
72
0
0
05 Mar 2025
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models
Hyunwoo Kim
Melanie Sclar
Tan Zhi-Xuan
Lance Ying
Sydney Levine
Yang Liu
Joshua B. Tenenbaum
Yejin Choi
LRM
LLMAG
71
1
0
17 Feb 2025
Understanding Epistemic Language with a Language-augmented Bayesian Theory of Mind
Lance Ying
Tan Zhi-Xuan
Lionel Wong
Vikash K. Mansinghka
J. Tenenbaum
66
1
0
21 Aug 2024
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning
Yizhe Huang
Hoang Trung-Dung
Fanqi Kong
Yaodong Yang
Song-Chun Zhu
Xue Feng
44
3
0
12 Jun 2024
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning
Zhi-Xuan Tan
Lance Ying
Vikash K. Mansinghka
Joshua B. Tenenbaum
68
22
0
27 Feb 2024
Neural Reasoning About Agents' Goals, Preferences, and Actions
Matteo Bortoletto
Lei Shi
Andreas Bulling
47
5
0
12 Dec 2023
Visual cognition in multimodal large language models
Luca M. Schulze Buschoff
Elif Akata
Matthias Bethge
Eric Schulz
LRM
76
14
0
27 Nov 2023
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
Kanishk Gandhi
Gala Stojnic
Brenden M. Lake
M. Dillon
53
47
0
23 Feb 2021
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