Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
RLHF-Vrlhf-v.github.io · Low evidenceRLHF 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.
Parse Score