Multilingual Multimodal

Multilingual multimodal research aims to develop artificial intelligence systems that understand and reason using both visual and textual information across multiple languages. Current efforts focus on creating robust benchmarks for evaluating these systems, developing novel model architectures that leverage pre-trained language and vision models, and addressing challenges like cross-lingual transfer and low-resource language support. This field is crucial for building more inclusive and versatile AI applications, impacting areas such as multilingual machine translation, cross-lingual visual question answering, and multimodal data analysis across diverse languages and cultures.