arXiv (OAI Expanded)
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StepPrune: Adaptive Sequential Visual Token Selection across Multimodal Large Language Models
Visual prefixes account for a major portion of the per-layer computation in multimodal large language models (MLLMs), making visual-token pruning a direct approach to accelerating inference. Existing top-K methods typically evaluate tokens independently and apply a uniform budget to all inputs, over
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