FIELD NOTES TOPIC
visual-token processing
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Attend, Transform, or Silence: Operator-Level Visual Skipping for Efficient Multimodal LLM Inference
The paper proposes a method for improving the efficiency of multimodal large language models (MLLMs) by selectively skipping redundant attention and FFN operators during visual-token processing. The method aims to…
