MACER decouples cross-modal token-budget allocation from within-modality token ranking and improves accuracy over shared top-K compression in Qwen2.5-Omni and OmniVinci models.
The ratio∆ v/∆a measures whether video or audio readout is more sensitive to probe-layer choice
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Allocation Before Ranking: Decoupled Token Compression for OmniLLMs
MACER decouples cross-modal token-budget allocation from within-modality token ranking and improves accuracy over shared top-K compression in Qwen2.5-Omni and OmniVinci models.