CACARA: Cross-Modal Alignment Leveraging a Text-Centric Approach for Cost-Effective Multimodal and Multilingual Learning

The article introduces CACARA, a method for improving multimodal and multilingual learning efficiency. The focus on a text-centric approach suggests a potential for improved performance and reduced computational costs. The use of 'cost-effective' in the title indicates a focus on practical applications and resource optimization, which is a key area of interest in current AI research.

• •CACARA is a new method for multimodal and multilingual learning.
• •It uses a text-centric approach.
• •The method aims for cost-effectiveness.