The Better You Learn, The Smarter You Prune: Towards Efficient Vision-language-action Models via Differentiable Token Pruning
Fuente:
arXiv
Saved in:
| Main Authors: | Jiang, Titong, Jiang, Xuefeng, Ma, Yuan, Wen, Xin, Li, Bailin, Zhan, Kun, Jia, Peng, Liu, Yahui, Sun, Sheng, Lang, Xianpeng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Token Pruning for LLaDA-V
by: Wan, Zhewen, et al.
Published: (2026)
by: Wan, Zhewen, et al.
Published: (2026)
Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR
by: Xu, Haobo, et al.
Published: (2026)
by: Xu, Haobo, et al.
Published: (2026)
HiPrune: Hierarchical Attention for Efficient Token Pruning in Vision-Language Models
by: Liu, Jizhihui, et al.
Published: (2025)
by: Liu, Jizhihui, et al.
Published: (2025)
Towards Joint Quantization and Token Pruning of Vision-Language Models
by: Li, Xinqing, et al.
Published: (2026)
by: Li, Xinqing, et al.
Published: (2026)
Training Noise Token Pruning
by: Rao, Mingxing, et al.
Published: (2024)
by: Rao, Mingxing, et al.
Published: (2024)
TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model
by: Li, Ao, et al.
Published: (2025)
by: Li, Ao, et al.
Published: (2025)
TransDiffuser: Diverse Trajectory Generation with Decorrelated Multi-modal Representation for End-to-end Autonomous Driving
by: Jiang, Xuefeng, et al.
Published: (2025)
by: Jiang, Xuefeng, et al.
Published: (2025)
Efficient Vision-Language Reasoning via Adaptive Token Pruning
by: Li, Xue, et al.
Published: (2025)
by: Li, Xue, et al.
Published: (2025)
PPT: Token Pruning and Pooling for Efficient Vision Transformers
by: Wu, Xinjian, et al.
Published: (2023)
by: Wu, Xinjian, et al.
Published: (2023)
Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning
by: Wang, Shaobo, et al.
Published: (2025)
by: Wang, Shaobo, et al.
Published: (2025)
Think Before You Prune: Selective Self-Generated Calibration for Pruning Large Reasoning Models
by: Xiang, Yang, et al.
Published: (2025)
by: Xiang, Yang, et al.
Published: (2025)
CLIP Tricks You: Training-free Token Pruning for Efficient Pixel Grounding in Large VIsion-Language Models
by: Lee, Sangin, et al.
Published: (2026)
by: Lee, Sangin, et al.
Published: (2026)
A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models
by: Zeng, Quan-Sheng, et al.
Published: (2025)
by: Zeng, Quan-Sheng, et al.
Published: (2025)
EvoPrune: Early-Stage Visual Token Pruning for Efficient MLLMs
by: Chen, Yuhao, et al.
Published: (2026)
by: Chen, Yuhao, et al.
Published: (2026)
Think Before You Prune: Self-Reflective Structured Pruning for Reasoning Language Models
by: Wang, Ziyan, et al.
Published: (2025)
by: Wang, Ziyan, et al.
Published: (2025)
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
by: Tian, Xiaoyu, et al.
Published: (2024)
by: Tian, Xiaoyu, et al.
Published: (2024)
IVC-Prune: Revealing the Implicit Visual Coordinates in LVLMs for Vision Token Pruning
by: Sun, Zhichao, et al.
Published: (2026)
by: Sun, Zhichao, et al.
Published: (2026)
Beyond Surrogate Gradients: Fully Differentiable Token Pruning for Vision-Language Models
by: He, Landi, et al.
Published: (2026)
by: He, Landi, et al.
Published: (2026)
CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models
by: Cheng, Xinle, et al.
Published: (2025)
by: Cheng, Xinle, et al.
Published: (2025)
Exploring Token Pruning in Vision State Space Models
by: Zhan, Zheng, et al.
Published: (2024)
by: Zhan, Zheng, et al.
Published: (2024)
IWP: Token Pruning as Implicit Weight Pruning in Large Vision Language Models
by: Lee, Dong-Jae, et al.
Published: (2026)
by: Lee, Dong-Jae, et al.
Published: (2026)
PruneVid: Visual Token Pruning for Efficient Video Large Language Models
by: Huang, Xiaohu, et al.
Published: (2024)
by: Huang, Xiaohu, et al.
Published: (2024)
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models
by: Wang, Zekun, et al.
Published: (2023)
by: Wang, Zekun, et al.
Published: (2023)
VLM-Pruner: Buffering for Spatial Sparsity in an Efficient VLM Centrifugal Token Pruning Paradigm
by: Wu, Zhenkai, et al.
Published: (2025)
by: Wu, Zhenkai, et al.
Published: (2025)
Comb, Prune, Distill: Towards Unified Pruning for Vision Model Compression
by: Schmitt, Jonas, et al.
Published: (2024)
by: Schmitt, Jonas, et al.
Published: (2024)
Index-Preserving Lightweight Token Pruning for Efficient Document Understanding in Vision-Language Models
by: Son, Jaemin, et al.
Published: (2025)
by: Son, Jaemin, et al.
Published: (2025)
EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent
by: Li, Jiaao, et al.
Published: (2025)
by: Li, Jiaao, et al.
Published: (2025)
UTPTrack: Towards Simple and Unified Token Pruning for Visual Tracking
by: Wu, Hao, et al.
Published: (2026)
by: Wu, Hao, et al.
Published: (2026)
METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models
by: Liu, Yuchen, et al.
Published: (2025)
by: Liu, Yuchen, et al.
Published: (2025)
EfficientLLaVA:Generalizable Auto-Pruning for Large Vision-language Models
by: Liang, Yinan, et al.
Published: (2025)
by: Liang, Yinan, et al.
Published: (2025)
Attention Debiasing for Token Pruning in Vision Language Models
by: Zhao, Kai, et al.
Published: (2025)
by: Zhao, Kai, et al.
Published: (2025)
SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
by: Deng, Jinhong, et al.
Published: (2025)
by: Deng, Jinhong, et al.
Published: (2025)
Focus-Scan-Refine: From Human Visual Perception to Efficient Visual Token Pruning
by: Tong, Enwei, et al.
Published: (2026)
by: Tong, Enwei, et al.
Published: (2026)
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation
by: Chen, Hanning, et al.
Published: (2024)
by: Chen, Hanning, et al.
Published: (2024)
HiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity
by: Wang, Yida, et al.
Published: (2025)
by: Wang, Yida, et al.
Published: (2025)
Object-Centric Vision Token Pruning for Vision Language Models
by: Li, Guangyuan, et al.
Published: (2025)
by: Li, Guangyuan, et al.
Published: (2025)
ReDiPrune: Relevance-Diversity Pre-Projection Token Pruning for Efficient Multimodal LLMs
by: Yu, An, et al.
Published: (2026)
by: Yu, An, et al.
Published: (2026)
Energy-Driven Adaptive Visual Token Pruning for Efficient Vision-Language Models
by: He, Jialuo, et al.
Published: (2026)
by: He, Jialuo, et al.
Published: (2026)
HEART-VIT: Hessian-Guided Efficient Dynamic Attention and Token Pruning in Vision Transformer
by: Uddin, Mohammad Helal, et al.
Published: (2025)
by: Uddin, Mohammad Helal, et al.
Published: (2025)
FGP: Feature-Gradient-Prune for Efficient Convolutional Layer Pruning
by: Lv, Qingsong, et al.
Published: (2024)
by: Lv, Qingsong, et al.
Published: (2024)
Similar Items
-
Efficient Token Pruning for LLaDA-V
by: Wan, Zhewen, et al.
Published: (2026) -
Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR
by: Xu, Haobo, et al.
Published: (2026) -
HiPrune: Hierarchical Attention for Efficient Token Pruning in Vision-Language Models
by: Liu, Jizhihui, et al.
Published: (2025) -
Towards Joint Quantization and Token Pruning of Vision-Language Models
by: Li, Xinqing, et al.
Published: (2026) -
Training Noise Token Pruning
by: Rao, Mingxing, et al.
Published: (2024)