ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models
ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models
Large Vision Language Models (LVLMs) have achieved significant success across multi-modal tasks. However, the computational cost of processing long visual tokens can be prohibitively expensive on resource-limited devices. Previous methods have identified redundancy in visual tokens within the Large Language Model (LLM) decoder layers and have mitigated this by pruning …