2 citations · 3 across the 11 of their papers we have counts for
5 papers · 1 filter
MagicAgent: Towards Generalized Agent Planning
Xuhui Ren, Shaokang Dong, Chen Yang +21
The evolution of Large Language Models (LLMs) from passive text processors to autonomous agents has established planning as a core component of modern intelligence. However, achiev…
Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind
Mouad Abrini, Omri Abend, Dina Acklin +105
This volume includes a selection of papers presented at the Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2025 in Philadelphia US on 3rd March 2…
Vision Language Models Know Law of Conservation without Understanding More-or-Less
Dezhi Luo, Haiyun Lyu, Qingying Gao +3
Understanding law of conservation is a critical milestone in human cognitive development considered to be supported by the apprehension of quantitative concepts and the reversibili…
Vision Language Models See What You Want but not What You See
Qingying Gao, Yijiang Li, Haiyun Lyu +3
Knowing others' intentions and taking others' perspectives are two core components of human intelligence that are considered to be instantiations of theory-of-mind. Infiltrating ma…
Probing Mechanical Reasoning in Large Vision Language Models
Haoran Sun, Qingying Gao, Haiyun Lyu +3
Mechanical reasoning is a hallmark of human intelligence, defined by its ubiquitous yet irreplaceable role in human activities ranging from routine tasks to civil engineering. Embe…