#multimodal large language models

WINGS introduces a dual-learner architecture that balances attention between text and images in multimodal large language models, significantly reducing text-only forgetting and boosting performance across benchmarks.

GRIT introduces a groundbreaking method for teaching multimodal large language models to jointly reason with images and text, significantly improving visual grounding and reasoning accuracy while requiring minimal training data.

China has launched the world’s first fully AI-powered hospital featuring 14 virtual doctors capable of treating thousands of patients daily while also providing a risk-free training environment for medical students.

Meta AI's Token-Shuffle method reduces the number of image tokens in Transformer models, allowing efficient high-resolution image synthesis with improved quality and lower computational cost.