Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind

4 August 2022

Papers citing "Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind"

8 / 8 papers shown

Title
From Infants to AI: Incorporating Infant-like Learning in Models Boosts Efficiency and Generalization in Learning Social Prediction Tasks Shify Treger Shimon Ullman 61 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 51 0 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 55 1 0 21 Aug 2024
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning Yizhe Huang Anji Liu Fanqi Kong Yaodong Yang Song-Chun Zhu Xue Feng 39 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 40 22 0 27 Feb 2024
Neural Reasoning About Agents' Goals, Preferences, and Actions Matteo Bortoletto Lei Shi Andreas Bulling 39 5 0 12 Dec 2023
Visual cognition in multimodal large language models Luca M. Schulze Buschoff Elif Akata Matthias Bethge Eric Schulz LRM 51 14 0 27 Nov 2023
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others Kanishk Gandhi Gala Stojnic Brenden Lake M. Dillon 48 46 0 23 Feb 2021