Lance Ying

According to our database, Lance Ying authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Assessing Adaptive World Models in Machines with Novel Games.

Lance Ying, Katherine M. Collins, Prafull Sharma, Cedric Colas, Kaiya Ivy Zhao, Adrian Weller, Zenna Tavares, Phillip Isola, Samuel J. Gershman, Jacob Andreas, Thomas L. Griffiths, François Chollet, Kelsey R. Allen, Joshua B. Tenenbaum

CoRR, July, 2025

Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models.

Lionel Wong, Katherine M. Collins, Lance Ying, Cedegao E. Zhang, Adrian Weller, Tobias Gerstenberg, Timothy O'Donnell, Alexander K. Lew, Jacob Andreas, Joshua B. Tenenbaum, Tyler Brooke-Wilson

CoRR, July, 2025

Adaptive Social Learning using Theory of Mind.

Lance Ying, Ryan Truong, Joshua B. Tenenbaum, Samuel J. Gershman

CoRR, July, 2025

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, Joshua B. Tenenbaum

CoRR, June, 2025

What's in the Box? Reasoning about Unseen Objects from Multimodal Cues.

Lance Ying, Daniel Xu, Alicia Zhang, Katherine M. Collins, Max H. Siegel, Joshua B. Tenenbaum

CoRR, June, 2025

Belief Attribution as Mental Explanation: The Role of Accuracy, Informativity, and Causality.

Lance Ying, Almog Hillel, Ryan Truong, Vikash K. Mansinghka, Joshua B. Tenenbaum, Tan Zhi-Xuan

CoRR, May, 2025

On Benchmarking Human-Like Intelligence in Machines.

Lance Ying, Katherine M. Collins, Lionel Wong, Ilia Sucholutsky, Ryan Liu, Adrian Weller, Tianmin Shu, Thomas L. Griffiths, Joshua B. Tenenbaum

CoRR, February, 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

CoRR, February, 2025

Understanding Epistemic Language with a Language-augmented Bayesian Theory of Mind.

Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum

Trans. Assoc. Comput. Linguistics, 2025

2024

SIFToM: Robust Spoken Instruction Following through Theory of Mind.

Lance Ying, Jason Xinyu Liu, Shivam Aarya, Yizirui Fang, Stefanie Tellex, Joshua B. Tenenbaum, Tianmin Shu

CoRR, 2024

Understanding Epistemic Language with a Bayesian Theory of Mind.

Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum

CoRR, 2024

Grounding Language about Belief in a Bayesian Theory-of-Mind.

Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum

CoRR, 2024

GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment.

Lance Ying, Kunal Jha, Shivam Aarya, Joshua B. Tenenbaum, Antonio Torralba, Tianmin Shu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning.

Tan Zhi-Xuan, Lance Ying, Vikash Mansinghka, Joshua B. Tenenbaum

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Inferring the Goals of Communicating Agents from Actions and Instructions.

Lance Ying, Tan Zhi-Xuan, Vikash Mansinghka, Joshua B. Tenenbaum

CoRR, 2023

The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs.

Lance Ying, Katherine M. Collins, Megan Wei, Cedegao E. Zhang, Tan Zhi-Xuan, Adrian Weller, Joshua B. Tenenbaum, Lionel Wong

CoRR, 2023

2022

A Bayesian Drift-Diffusion Model of Schachter-Singer's Two-Factor Theory of Emotion.

Lance Ying, Audrey Michal, Jun Zhang

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Accounting for Variations in Speech Emotion Recognition with Nonparametric Hierarchical Neural Network.

Lance Ying, Amrit Romana, Emily Mower Provost

CoRR, 2021