Mitigating Object Hallucinations in LVLMs via Attention Imbalance Rectification
Mitigating Object Hallucinations in LVLMs via Attention Imbalance Rectification explores A lightweight decoding-time intervention method to significantly reduce object hallucinations in Large Vision-Language Models, improving their reliability for critical applications.. Commercial viability score: 7/10 in LVLM Object Hallucination Mitigation.
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