Poster "visual token pruning" Papers

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A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs

Wangbo Zhao, Yizeng Han, Jiasheng Tang et al.

CVPR 2025posterarXiv:2412.03324

DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models

Saeed Ranjbar Alvar, Gursimran Singh, Mohammad Akbari et al.

CVPR 2025posterarXiv:2503.02175

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

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

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

NeurIPS 2025posterarXiv:2510.24214

VLDrive: Vision-Augmented Lightweight MLLMs for Efficient Language-grounded Autonomous Driving

Ruifei Zhang, Wei Zhang, Xiao Tan et al.

ICCV 2025posterarXiv:2511.06256

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

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models

Liang Chen, Haozhe Zhao, Tianyu Liu et al.

ECCV 2024posterarXiv:2403.06764