arXiv AI
Delta-K: Boosting Multi-Instance Generation via Cross-Attention Augmentation
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Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models
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Hugging Face Trending Papers
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When Attention Collapses: Stage-Aware Visual Token Pruning from Structure to Semantics
Vision-Language Models (VLMs) have demonstrated remarkable capabilities but suffer from significant computational overhead during inference. While visual token pruning offers a promising solution, existing methods predominantly rely on initial attention scores.