Self-reflective multimodal models can improve generation quality by learning to reason about user intent and autonomously correct their outputs using decomposed, verifiable rewards from language models.
AlphaGRPO enhances multimodal AI models to generate images and text by teaching them to reason about what users want and fix their own mistakes. It uses a novel reward system that breaks down complex requests into simple checkable questions, allowing the model to learn from reliable feedback without needing extra training setup.