Object hallucination in LVLMs is not explained by attention strength but by a mismatch between attended visual semantics and generated tokens, which can be detected via Logit Lens and mitigated by targeted masking or decoding.
Mitigating object hallucinations in large vision- language models with assembly of global and local attention
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Same Attention, Different Truths: Put Logit-Lens over Visual Attention to Detect and Mitigate LVLM Object Hallucination
Object hallucination in LVLMs is not explained by attention strength but by a mismatch between attended visual semantics and generated tokens, which can be detected via Logit Lens and mitigated by targeted masking or decoding.