AdaToken-3D uses attention-derived contribution scores to prune spatial tokens layer by layer in 3D LMMs, achieving about 60 percent FLOPs reduction with roughly unchanged benchmark scores.
From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks
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AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning
AdaToken-3D uses attention-derived contribution scores to prune spatial tokens layer by layer in 3D LMMs, achieving about 60 percent FLOPs reduction with roughly unchanged benchmark scores.