5 papers · 1 filter
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…
The Philosophical Foundations of Growing AI Like A Child
Dezhi Luo, Yijiang Li, Hokin Deng
Despite excelling in high-level reasoning, current language models lack robustness in real-world scenarios and perform poorly on fundamental problem-solving tasks that are intuitiv…
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…