From Senses to Decisions: The Information Flow of Auditory and Visual Perception in Multimodal LLMs
Researchers have mapped how Audio-Visual Large Language Models (AVLLMs) process and integrate audio and visual information internally, revealing distinct information flow patterns depending on input configuration. The study demonstrates that multimodal tokens can be pruned after information transfer with minimal performance impact, enabling more efficient inference across different model scales.