Preprint
Sep 2026
Layer-Aware Position Embeddings for Visual Token Pruning in Multimodal Large Language Models
Multimodal large language models (MLLMs) incur substantial computational overhead due to the reliance on hundreds of visual tokens to represent images. While token pruning has emerged as a promising approach to reduce the inference cost of MLLMs, existing methods typically reassign position embeddings to the retained t...
Ya-Hong Wang, Zhang-Kai Ni, Jun-Cheng Wu et al.
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