A team of CMU researchers has introduced PANGEA, a multilingual multimodal large language model (MLLM) designed to bridge linguistic and cultural gaps.
PANGEA is trained on a newly curated dataset, PANGEAINS, and outperforms existing models in multilingual scenarios.
The evaluation of PANGEA on PANGEABENCH shows significant improvements, especially in multilingual tasks.
The open-sourcing of PANGEAINS, PANGEABENCH, and PANGEA models promotes equity and accessibility across linguistic and cultural boundaries.