A self-improving post-training method that uses a model's own generated images as training data, with SFT and GRPO, improves generation and understanding and reduces task imbalance.
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UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning
A self-improving post-training method that uses a model's own generated images as training data, with SFT and GRPO, improves generation and understanding and reduces task imbalance.