Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down
Bayesian Filtering of Bottom-Up Proposals

Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals

23 July 2024

Vikash K. Mansinghka

Joshua B. Tenenbaum

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Papers citing "Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals"

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Title
Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly Lance Ying Ryan Truong Katherine M. Collins Cedegao E. Zhang Megan Wei Tyler Brooke-Wilson Tan Zhi-Xuan Lionel Wong J. Tenenbaum LLMAG 18 0 0 20 Jun 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 110 3 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 119 1 0 21 Aug 2024