activity
20242026
most citedAssessing Adaptive World Models in Machines with Novel Games

2 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

DiG-bench: Discovery in Games

Ruairidh M. Battleday, Kai Sandbrink, Jimi Cullen-Drohan +13

Discovery---formulating novel generalizations---is a central part of the scientific process. Despite its importance, there is a gap in the current AI benchmark landscape, with few…

cs.AI2026★ 1 cited

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…

q-bio.NC2025

People use fast and flat simulation to reason about new games

Katherine M. Collins, Cedegao E. Zhang, Lionel Wong +6

Games have long been a microcosm for studying planning and reasoning in both natural and artificial intelligence (AI), often focusing on expert-level or even super-human play. But…

cs.CL2025

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…

cs.AI2025★ 2 cited

Assessing Adaptive World Models in Machines with Novel Games

Lance Ying, Katherine M. Collins, Prafull Sharma +11

Human intelligence exhibits a remarkable capacity for rapid adaptation and effective problem-solving in novel and unfamiliar contexts. We argue that this profound adaptability is f…

cs.HC2024★ 2 cited

Building Machines that Learn and Think with People

Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt +10

What do we want from machine intelligence? We envision machines that are not just tools for thought, but partners in thought: reasonable, insightful, knowledgeable, reliable, and t…

cs.LG2024★ 1 cited

Representational Alignment Supports Effective Machine Teaching

Ilia Sucholutsky, Katherine M. Collins, Maya Malaviya +11

A good teacher should not only be knowledgeable, but should also be able to communicate in a way that the student understands -- to share the student's representation of the world.…