HKU proposes RaPO: Strengthening Fine-tuning to Overcome MLLM Catastrophic Forgetting, code is open-sourced

HKU proposes RaPO reinforcement fine-tuning method, using a verifier reward mechanism to break the catastrophic forgetting problem of MLLM, and open-sourcing the code.