Multimodal Language Processing

To develop technologies for searching and explaining the real world, we are working across a broad spectrum of fields, from the development of multimodal learning methods based on foundation models and large language models, as well as their applications in robotics, image captioning, autonomous driving, fashion, and art. We won first place for a multimodal instruction-following task at the CVPR 2023 Embodied AI Workshop.