Xuanyu Yin

RIVS: Mitigating Hallucination in Large Vision-Language Models via Representation Intervention on Visual Grounding Shift

This work studies hallucination from the perspective of dynamic representation shift during generation and proposes an online projection-based intervention on intermediate hidden states to suppress the hallucination-related directions, mitigating hallucinations while preserving language quality.