25972mp4 Direct

The study evaluates 13 Multimodal Large Language Models (MLLMs) to see how well they understand visual inputs like images and videos (which often use the .mp4 format) to help users with visual impairments.

A paper closely related to the identifier "25972" in the context of visual and multimodal AI is . 25972mp4

The paper introduces five user-centered tasks, including a new task for Optical Braille Recognition , to test how AI can better interpret the physical world. The study evaluates 13 Multimodal Large Language Models

If you are looking for this specific paper, it is available through the ACL Anthology or the Heriot-Watt University Research Portal . If you are looking for this specific paper,

This research, presented at the conference, explores how AI can assist visually impaired individuals. In the paper's appendix or data tables, the number 25972 is associated with language and resource mapping, specifically linked to script or ISO code classifications. Key Focus Areas of the Paper

The researchers found that while adoption of these models is high, they often struggle with cultural sensitivity , complex scene understanding , and hallucinations .