ILVAD is a plug-and-play method that builds a saliency map from inter-layer attention discrepancies on early tokens to enhance visual evidence focus and ground generated text, reducing hallucinations in LVLMs.
Toward robust hyper-detailed image captioning: A multiagent approach and dual evaluation metrics for factuality and coverage
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Finding the Correct Visual Evidence Without Forgetting: Mitigating Hallucination in LVLMs via Inter-Layer Visual Attention Discrepancy
ILVAD is a plug-and-play method that builds a saliency map from inter-layer attention discrepancies on early tokens to enhance visual evidence focus and ground generated text, reducing hallucinations in LVLMs.