A recent study identifies an imbalance in attention heads within multimodal large language models, which leads to modality-conflict hallucinations where erroneous text overrides visual evidence. The proposed solution, MACI, effectively reduces these hallucinations while maintaining accuracy, marking a significant advancement in model reliability.