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ROT: Rotating Hidden States towards Contextual Vectors for Hallucination Mitigation in LVLMs
Large Vision-Language Models (LVLMs) frequently suffer from object hallucination. Existing training-free interventions primarily manipulate attention weights, which indirectly affect the deep semantics reaching the final predictive layers. In this work, we shift our focus to the hidden state vectors
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