2 citations · 3 across the 18 of their papers we have counts for
5 papers · 1 filter
Core Knowledge Deficits in Multi-Modal Language Models
Yijiang Li, Qingying Gao, Tianwei Zhao +8
While Multi-modal Large Language Models (MLLMs) demonstrate impressive abilities over high-level perception and reasoning, their robustness in the wild remains limited, often falli…
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…
Use-dependent Biases as Optimal Action under Information Bottleneck
Hokin Deng, Adrian Haith
Use-dependent bias is a phenomenon in human sensorimotor behavior whereby movements become biased towards previously repeated actions. Despite being well-documented, the reason why…