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insight - Trustworthiness Enhancement in MLLMs
MLLMs Trustworthiness Enhancement via Human Feedback Alignment
RLHF-V enhances MLLM trustworthiness by aligning behaviors with correctional human feedback, reducing hallucinations significantly.
RLHF-V: Enhancing Trustworthiness of MLLMs with Fine-grained Human Feedback
MLLMs suffer from hallucination issues, but RLHF-V aligns behaviors with human feedback to reduce hallucinations and improve trustworthiness.
Enhancing Trustworthiness of Multimodal Large Language Models through Fine-grained Correctional Human Feedback
RLHF-V enhances the trustworthiness of Multimodal Large Language Models by aligning behaviors with fine-grained correctional human feedback, reducing hallucination rates significantly.
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