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RLHF V is a framework that enhances the trustworthiness of Multimodal Large Language Models by aligning their behavior through fine-grained correctional human feedback. It reduces hallucination rates by 34.8% with just 1.4K annotated data, achieving efficient training in one hour on eight A100 GPUs.
AI named RLHF-V in November 2025.