4 papers
(How) Do MLLMs Report Bistable Images Like Humans?
Ryota Takatsuki, Tomoki Doi, Amane Watahiki +2
Bistable images such as the duck-rabbit are classic stimuli in which one image supports multiple mutually incompatible interpretations, typically reported one at a time in humans.…
Developing a Guideline for the Labovian-Structural Analysis of Oral Narratives in Japanese
Amane Watahiki, Tomoki Doi, Akari Kikuchi +5
Narrative analysis is a cornerstone of qualitative research. One leading approach is the Labovian model, but its application is labor-intensive, requiring a holistic, recursive int…
Bridging Perception and Language: A Systematic Benchmark for LVLMs' Understanding of Amodal Completion Reports
Amane Watahiki, Tomoki Doi, Taiga Shinozaki +4
One of the main objectives in developing large vision-language models (LVLMs) is to engineer systems that can assist humans with multimodal tasks, including interpreting descriptio…
Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions?
Taiga Shinozaki, Tomoki Doi, Amane Watahiki +2
Humans are susceptible to optical illusions, which serve as valuable tools for investigating sensory and cognitive processes. Inspired by human vision studies, research has begun e…