arXiv (OAI Expanded)
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AdaVSkip: Adaptive Visual Token Skipping Across Layers For Efficient MLLMs Inference
Multimodal large language models (MLLMs) require substantial computation to process numerous visual tokens across all transformer layers. Most methods for efficient MLLM inference exploit horizontal redundancy by compressing visual tokens. Beyond token reduction, recent studies exploit vertical redu
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