NeurIPS "visual token pruning" Papers

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Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs

Qizhe Zhang, Mengzhen Liu, Lichen Li et al.

NeurIPS 2025posterarXiv:2506.10967
19
citations

Don't Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention

Xin Zou, Di Lu, Yizhou Wang et al.

NeurIPS 2025posterarXiv:2510.02912
7
citations

SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs

Jinhong Deng, Wen Li, Joey Tianyi Zhou et al.

NeurIPS 2025posterarXiv:2510.24214

Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering

Yangfu Li, Hongjian Zhan, Tianyi Chen et al.

NeurIPS 2025posterarXiv:2505.10118
1
citations