Discover how researchers are making Multimodal LLMs fairer judges by mitigating perceptual bias and enhancing their continuous learning capabilities for new instructions. Explore groundbreaking methods for scalable robot data synthesis with compositional world models and a new predictive visual code for efficient video processing by MLLMs. Plus, delve into an innovative interactive environment simulating multi-stage clinical scenarios using electronic health records for robust AI agent training.