Alignment in Multimodal Large Language Models: A Survey
Multimodal large language models (MLLMs) can generate plausible responses without using the relevant evidence or meeting task constraints. We separate the Modality Gap in cross-modal correspondence and evidence use from the Intent Gap in behavior relative to specified constraints, goals, and human expectations. Six dim...
Yuyao Yang, Jiaxing Zhang, Ling Yue et al.
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