
RLHF-V enhances MLLM trustworthiness by aligning behaviors with correctional human feedback, reducing hallucinations significantly.


coremsg

mllms-trustworthiness-enhancement-via-human-feedback-alignment


MLLMs Trustworthiness Enhancement via Human Feedback Alignment


title_rewrite


MLLMs suffer from hallucination issues, but RLHF-V aligns behaviors with human feedback to reduce hallucinations and improve trustworthiness.


rlhf-v-enhancing-trustworthiness-of-mllms-with-fine-grained-human-feedback


RLHF-V: Enhancing Trustworthiness of MLLMs with Fine-grained 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.


enhancing-trustworthiness-of-multimodal-large-language-models-through-fine-grained-correctional-human-feedback


Enhancing Trustworthiness of Multimodal Large Language Models through Fine-grained Correctional Human Feedback
