Tan Zhi-Xuan

33 papers A* 1A 3B 6Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2025 B conf
Belief Attribution as Mental Explanation: The Role of Accuracy, Informativity, and Causality.
CogSci
Lance Ying, Almog Hilel, Ryan Truong, Vikash Mansinghka, Joshua B. Tenenbaum, Tan Zhi-Xuan
2025 J jnl
Belief Attribution as Mental Explanation: The Role of Accuracy, Informativity, and Causality.
CoRR
Lance Ying, Almog Hillel, Ryan Truong, Vikash K. Mansinghka, Joshua B. Tenenbaum, Tan Zhi-Xuan
2025 J jnl
Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value.
CoRR
Joe Edelman, Tan Zhi-Xuan, Ryan Lowe, Oliver Klingefjord, Vincent Wang-Mascianica, Matija Franklin, Ryan Othniel Kearns, Ellie Hain, Atrisha Sarkar, Michiel A. Bakker, Fazl Barez, David Duvenaud, Jakob N. Foerster, Iason Gabriel, Joseph Gubbels, Bryce Goodman, Andreas Haupt, Jobst Heitzig, Julian Jara-Ettinger, Atoosa Kasirzadeh, James Ravi Kirkpatrick, Andrew Koh, W. Bradley Knox, Philipp E. Koralus, Joel Lehman, Sydney Levine, Samuele Marro, Manon Revel, Toby Shorin, Morgan Sutherland, Michael Henry Tessler, Ivan Vendrov, James Wilken-Smith
2025 J jnl
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models.
CoRR
Hyunwoo Kim, Melanie Sclar, Tan Zhi-Xuan, Lance Ying, Sydney Levine, Yang Liu, Joshua B. Tenenbaum, Yejin Choi
2025 J jnl
Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly.
CoRR
Lance Ying, Ryan Truong, Katherine M. Collins, Cedegao E. Zhang, Megan Wei, Tyler Brooke-Wilson, Tan Zhi-Xuan, Lionel Wong, Joshua B. Tenenbaum
2025 — conf
Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-the-fly.
EMNLP (Findings)
Lance Ying, Ryan Truong, Katherine M. Collins, Cedegao E. Zhang, Megan Wei, Tyler Brooke-Wilson, Tan Zhi-Xuan, Lionel Wong, Joshua B. Tenenbaum
2025 J jnl
Resource Rational Contractualism Should Guide AI Alignment.
CoRR
Sydney Levine, Matija Franklin, Tan Zhi-Xuan, Secil Yanik Guyot, Lionel Wong, Daniel Kilov, Yejin Choi, Joshua B. Tenenbaum, Noah D. Goodman, Seth Lazar, Iason Gabriel
2025 J jnl
Resource-Rational Virtual Bargaining for Moral Judgment: Toward a Probabilistic Cognitive Model.
Top. Cogn. Sci.
Diego Trujillo, Mindy Zhang, Tan Zhi-Xuan, Joshua B. Tenenbaum, Sydney Levine
2025 J jnl
Understanding Epistemic Language with a Language-augmented Bayesian Theory of Mind.
Trans. Assoc. Comput. Linguistics
Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum
2024 J jnl
Beyond Preferences in AI Alignment.
CoRR
Tan Zhi-Xuan, Micah Carroll, Matija Franklin, Hal Ashton
2024 J jnl
Building Machines that Learn and Think with People.
CoRR
Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt, Kartik Chandra, Lionel Wong, Mina Lee, Cedegao E. Zhang, Tan Zhi-Xuan, Mark K. Ho, Vikash Mansinghka, Adrian Weller, Joshua B. Tenenbaum, Thomas L. Griffiths
2024 B conf
Grounding Language about Belief in a Bayesian Theory-of-Mind.
CogSci
Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Josh Tenenbaum
2024 J jnl
Grounding Language about Belief in a Bayesian Theory-of-Mind.
CoRR
Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum
2024 B conf
Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals.
CogSci
Tan Zhi-Xuan, Gloria Kang, Vikash Mansinghka, Josh Tenenbaum
2024 J jnl
Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals.
CoRR
Tan Zhi-Xuan, Gloria Kang, Vikash Mansinghka, Joshua B. Tenenbaum
2024 A conf
Learning and Sustaining Shared Normative Systems via Bayesian Rule Induction in Markov Games.
AAMAS
Ninell Oldenburg, Tan Zhi-Xuan
2024 J jnl
Learning and Sustaining Shared Normative Systems via Bayesian Rule Induction in Markov Games.
CoRR
Ninell Oldenburg, Tan Zhi-Xuan
2024 A conf
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning.
AAMAS
Tan Zhi-Xuan, Lance Ying, Vikash Mansinghka, Joshua B. Tenenbaum
2024 J jnl
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning.
CoRR
Tan Zhi-Xuan, Lance Ying, Vikash Mansinghka, Joshua B. Tenenbaum
2024 J jnl
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems.
CoRR
David Dalrymple, Joar Skalse, Yoshua Bengio, Stuart Russell, Max Tegmark, Sanjit A. Seshia, Steve Omohundro, Christian Szegedy, Ben Goldhaber, Nora Ammann, Alessandro Abate, Joe Halpern, Clark W. Barrett, Ding Zhao, Tan Zhi-Xuan, Jeannette M. Wing, Joshua B. Tenenbaum
2024 J jnl
Understanding Epistemic Language with a Bayesian Theory of Mind.
CoRR
Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum
2023 J jnl
Inferring the Goals of Communicating Agents from Actions and Instructions.
CoRR
Lance Ying, Tan Zhi-Xuan, Vikash Mansinghka, Joshua B. Tenenbaum
2023 B conf
Language Models as Informative Goal Priors in a Bayesian Theory of Mind.
CogSci
Tan Zhi-Xuan, Paul Stefan Lunis, Nathalie Fernandez Echeverri, Vikash Mansinghka, Josh Tenenbaum
2023 A conf
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals.
AISTATS
Alexander K. Lew, George Matheos, Tan Zhi-Xuan, Matin Ghavamizadeh, Nishad Gothoskar, Stuart Russell, Vikash K. Mansinghka
2023 J jnl
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs.
CoRR
Alexander K. Lew, Tan Zhi-Xuan, Gabriel Grand, Vikash K. Mansinghka
2023 J jnl
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs.
CoRR
Lance Ying, Katherine M. Collins, Megan Wei, Cedegao E. Zhang, Tan Zhi-Xuan, Adrian Weller, Joshua B. Tenenbaum, Lionel Wong
2023 B conf
When it's not out of line to get out of line: Principles of universalizability, welfare, and harm.
CogSci
Joseph Kwon, Tan Zhi-Xuan, Josh Tenenbaum, Sydney Levine
2022 J jnl
Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning.
CoRR
Tan Zhi-Xuan, Joshua B. Tenenbaum, Vikash K. Mansinghka
2022 J jnl
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind.
CoRR
Tan Zhi-Xuan, Nishad Gothoskar, Falk Pollok, Dan Gutfreund, Joshua B. Tenenbaum, Vikash K. Mansinghka
2021 B conf
Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind.
CogSci
Arwa Alanqary, Gloria Z. Lin, Joie Le, Tan Zhi-Xuan, Vikash Mansinghka, Josh Tenenbaum
2021 J jnl
Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind.
CoRR
Arwa Alanqary, Gloria Z. Lin, Joie Le, Tan Zhi-Xuan, Vikash K. Mansinghka, Joshua B. Tenenbaum
2020 A* conf
Online Bayesian Goal Inference for Boundedly Rational Planning Agents.
NeurIPS
Tan Zhi-Xuan, Jordyn L. Mann, Tom Silver, Josh Tenenbaum, Vikash Mansinghka
2020 J jnl
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents.
CoRR
Tan Zhi-Xuan, Jordyn L. Mann, Tom Silver, Joshua B. Tenenbaum, Vikash K. Mansinghka