IFCD suppresses object and attribute hallucinations in large vision-language models by subtracting an internally edited, hallucination-amplified output distribution from the model's normal predictions.
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Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding
IFCD suppresses object and attribute hallucinations in large vision-language models by subtracting an internally edited, hallucination-amplified output distribution from the model's normal predictions.