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20242026
most citedAgents of Chaos

8 citations · 13 across the 15 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.AI2026

Integrating Simulation and Chain-of-thought Reasoning in Multimodal-Language Models For Physical Reasoning

YingQiao Wang, Eric Bigelow, Tomer Ullman +2

Multimodal language models often need to reason about the physical dynamics of the world in order to answer questions appropriately. Various methods have emerged for solving physic…

cs.CL2026

Directing large language models to follow the letter or spirit of the law

Peng Qian, Andrew Li, Sam Chen +3

The distinction between the spirit and letter of the law is a central issue across research and everyday life, and a growing concern for building safe, intelligent machines. What i…

cs.AI2026

CogGym: Towards Large-Scale Comparative Evaluation of Human and Machine Cognition

Lance Ying, Jinzhou Wu, Yingshan Susan Wang +53

Understanding and modeling human intelligence are parallel goals shared by artificial intelligence (AI) and cognitive science. As AI systems grow increasingly capable, in what ways…

cs.AI2026★ 8 cited

Agents of Chaos

Natalie Shapira, Chris Wendler, Avery Yen +35

We report an exploratory red-teaming study of autonomous language-model-powered agents deployed in a live laboratory environment with persistent memory, email accounts, Discord acc…

cs.CV2026

Modeling The Object Representations Underlying Human Physical Reasoning

Andrey Gizdov, Andrea Procopio, Yichen Li +4

Humans appear to represent objects when reasoning about physics with coarse, volumetric "bodies" that smooth concavities, trading fine visual detail for efficient physical predicti…