works on

From the 2 of 17 linked papers with an AI index.

collaborators

17 papers

cs.MA2026

Using Theory of Mind to Arbitrate between Social and Non-social Learning

Lance Ying, Ryan Truong, Joshua B. Tenenbaum +1

The paper proposes a Rational Mentalizing model that uses Theory of Mind to decide when to learn from others versus direct experience, and shows that this model matches human behav…

cs.HC2026

Pragmatic Reasoning in Design

Lance Ying, William Van Uitert, Tan Zhi-Xuan +2

The paper proposes a formal model of how designers convey affordances through design choices, treating design decisions as communicative signals that users interpret by recursively…

cs.CL2026

Post-training makes large language models less human-like

Marcel Binz, Elif Akata, Abdullah Almaatouq +76

Large language models (LLMs) are increasingly used as surrogates for human participants, but it remains unclear which models best capture human behavior and why. To address this, w…

cs.CL2026

Evaluating Language Models' Evaluations of Games

Katherine M. Collins, Cedegao E. Zhang, Graham Todd +9

Reasoning is not just about solving problems -- it is also about evaluating which problems are worth solving at all. Evaluations of artificial intelligence (AI) systems primarily f…

q-bio.NC2026

Grounding Social Perception in Intuitive Physics

Lance Ying, Aydan Y. Huang, Aviv Netanyahu +4

People infer rich social information from others' actions. These inferences are often constrained by the physical world: what agents can do, what obstacles permit, and how the phys…

cs.AI2026

AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games

Lance Ying, Ryan Truong, Prafull Sharma +9

Rigorously evaluating machine intelligence against the broad spectrum of human general intelligence has become increasingly important and challenging in this era of rapid technolog…