Researchers have introduced UniEvo-VL, an on-policy self-distillation training recipe designed to enable multimodal models to continuously self-improve. This novel methodology allows artificial intelligence systems to autonomously refine their capabilities and enhance overall performance by learning from their own generated outputs.