AINeutralarXiv – CS AI · Jun 16/10
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A Pilot Study on Curator-Guided Multilingual Art Description for Blind and Low-Vision Audiences with Small Vision-Language Models
Researchers conducted a pilot study using small vision-language models (Qwen2.5-VL-3B-Instruct) to generate multilingual art descriptions for blind and low-vision audiences in museum settings. The study compared language-specific and multilingual adapter approaches across German, Romanian, and Serbian, finding that language-specific models performed better for accessibility while maintaining privacy through on-premise deployment.