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RLHF-V · Nov 30, 2023 · 0adf2ea · 0adf2ea
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         <h2 class="title is-3">Abstract</h2>
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           <p>
             Existing Multimodal Large Language Models prevalently suffer from serious <b>hallucination</b> problems, generating text that is not factually grounded in associated images. Our <b>RLHF-V framework</b> enhances MLLM trustworthiness via behavior alignment from fine-grained correctional human feedback.
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