Visual Attention Drifts,but Anchors Hold:Mitigating Hallucination in Multimodal Large Language Models via Cross-Layer Visual Anchors

Visual Attention Drifts,but Anchors Hold:Mitigating Hallucination in Multimodal Large Language Models via Cross-Layer Visual Anchors explores A training-free method to reduce hallucination in multimodal LLMs by reinforcing intermediate visual features, improving output reliability without significant computational overhead.. Commercial viability score: 7/10 in Multimodal LLMs.