Vision Language Models (Better, Faster, Stronger)

Vision Language Models (VLMs) have advanced significantly, featuring any-to-any models, reasoning capabilities, and efficient smaller versions. New developments include Mixture-of-Experts architectures, vision-language-action models for robotics, and specialized functions like object detection and safety filtering. Multimodal agents, video understanding, and novel alignment techniques have broadened VLM applications. Updated benchmarks such as MMT-Bench and MMMU-Pro evaluate these evolving models.