A new study reveals how Audio-Visual Large Language Models (AVLLMs) process and integrate audio and visual information, enhancing their efficiency and interpretability. The findings suggest that AVLLMs can discard certain audio-visual tokens with minimal impact on predictions, paving the way for advancements in multimodal AI applications.