AutoPrune: LLMs Automatically Design Visual Token Pruning for Multimodal Models
Zhen Liu · hf · 2026-08-14
AutoPrune introduces an "AI4AI" framework that leverages large language models (LLMs) to automatically design visual-token pruning policies for multimodal models.
The method utilizes a domain-specific language (DSL) and a residual search formulation to generate and optimize these policies. Its core objective is to significantly boost the inference efficiency of multimodal models while minimizing performance degradation during token pruning.
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