EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Yantai, Wang, Yuhao, Wen, Zichen, Zhongwei, Luo, Zou, Chang, Zhang, Zhipeng, Wen, Chuan, Zhang, Linfeng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Flash-Unified: A Training-Free and Task-Aware Acceleration Framework for Native Unified Models
by: Ke, Junlong, et al.
Published: (2026)
by: Ke, Junlong, et al.
Published: (2026)
QVLA: Not All Channels Are Equal in Vision-Language-Action Model's Quantization
by: Xu, Yuhao, et al.
Published: (2026)
by: Xu, Yuhao, et al.
Published: (2026)
dVLA: Diffusion Vision-Language-Action Model with Multimodal Chain-of-Thought
by: Wen, Junjie, et al.
Published: (2025)
by: Wen, Junjie, et al.
Published: (2025)
VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models
by: Zhang, Borong, et al.
Published: (2025)
by: Zhang, Borong, et al.
Published: (2025)
VLA-IAP: Training-Free Visual Token Pruning via Interaction Alignment for Vision-Language-Action Models
by: Cheng, Jintao, et al.
Published: (2026)
by: Cheng, Jintao, et al.
Published: (2026)
LLaDA-VLA: Vision Language Diffusion Action Models
by: Wen, Yuqing, et al.
Published: (2025)
by: Wen, Yuqing, et al.
Published: (2025)
EvoVLA: Self-Evolving Vision-Language-Action Model
by: Liu, Zeting, et al.
Published: (2025)
by: Liu, Zeting, et al.
Published: (2025)
VLA-InfoEntropy: A Training-Free Vision-Attention Information Entropy Approach for Vision-Language-Action Models Inference Acceleration and Success
by: Liu, Chuhang, et al.
Published: (2026)
by: Liu, Chuhang, et al.
Published: (2026)
Prune2Drive: A Plug-and-Play Framework for Accelerating Vision-Language Models in Autonomous Driving
by: Xiong, Minhao, et al.
Published: (2025)
by: Xiong, Minhao, et al.
Published: (2025)
CF-VLA: Efficient Coarse-to-Fine Action Generation for Vision-Language-Action Policies
by: Du, Fan, et al.
Published: (2026)
by: Du, Fan, et al.
Published: (2026)
LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving
by: Luo, Yuechen, et al.
Published: (2026)
by: Luo, Yuechen, et al.
Published: (2026)
QUAR-VLA: Vision-Language-Action Model for Quadruped Robots
by: Ding, Pengxiang, et al.
Published: (2023)
by: Ding, Pengxiang, et al.
Published: (2023)
VideoCompressa: Data-Efficient Video Understanding via Joint Temporal Compression and Spatial Reconstruction
by: Wang, Shaobo, et al.
Published: (2025)
by: Wang, Shaobo, et al.
Published: (2025)
ForgeVLA: Federated Vision-Language-Action Learning without Language Annotations
by: Zhou, Yuhao, et al.
Published: (2026)
by: Zhou, Yuhao, et al.
Published: (2026)
TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation
by: Wen, Junjie, et al.
Published: (2024)
by: Wen, Junjie, et al.
Published: (2024)
DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation
by: Xie, Haozhe, et al.
Published: (2026)
by: Xie, Haozhe, et al.
Published: (2026)
MobileVLA-R1: Reinforcing Vision-Language-Action for Mobile Robots
by: Huang, Ting, et al.
Published: (2025)
by: Huang, Ting, et al.
Published: (2025)
StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding
by: Wang, Junxi, et al.
Published: (2026)
by: Wang, Junxi, et al.
Published: (2026)
VITA-VLA: Efficiently Teaching Vision-Language Models to Act via Action Expert Distillation
by: Dong, Shaoqi, et al.
Published: (2025)
by: Dong, Shaoqi, et al.
Published: (2025)
PD-VLA: Accelerating Vision-Language-Action Model Integrated with Action Chunking via Parallel Decoding
by: Song, Wenxuan, et al.
Published: (2025)
by: Song, Wenxuan, et al.
Published: (2025)
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models
by: Ye, Angen, et al.
Published: (2025)
by: Ye, Angen, et al.
Published: (2025)
VisionTrim: Unified Vision Token Compression for Training-Free MLLM Acceleration
by: Yu, Hanxun, et al.
Published: (2026)
by: Yu, Hanxun, et al.
Published: (2026)
PointVLA: Injecting the 3D World into Vision-Language-Action Models
by: Li, Chengmeng, et al.
Published: (2025)
by: Li, Chengmeng, et al.
Published: (2025)
Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?
by: Wen, Zichen, et al.
Published: (2025)
by: Wen, Zichen, et al.
Published: (2025)
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training
by: Zhang, Wenyu, et al.
Published: (2024)
by: Zhang, Wenyu, et al.
Published: (2024)
VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching
by: Xu, Siyu, et al.
Published: (2025)
by: Xu, Siyu, et al.
Published: (2025)
SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model
by: Zhou, Zewei, et al.
Published: (2026)
by: Zhou, Zewei, et al.
Published: (2026)
VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models
by: Zhang, Jianke, et al.
Published: (2026)
by: Zhang, Jianke, et al.
Published: (2026)
InfiniteVGGT: Visual Geometry Grounded Transformer for Endless Streams
by: Yuan, Shuai, et al.
Published: (2026)
by: Yuan, Shuai, et al.
Published: (2026)
Vision-Language-Action (VLA) Models: Concepts, Progress, Applications and Challenges
by: Sapkota, Ranjan, et al.
Published: (2025)
by: Sapkota, Ranjan, et al.
Published: (2025)
ViCO: A Training Strategy towards Semantic Aware Dynamic High-Resolution
by: Cui, Long, et al.
Published: (2025)
by: Cui, Long, et al.
Published: (2025)
Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models
by: Liu, Xuyang, et al.
Published: (2025)
by: Liu, Xuyang, et al.
Published: (2025)
Mixing Importance with Diversity: Joint Optimization for KV Cache Compression in Large Vision-Language Models
by: Liu, Xuyang, et al.
Published: (2025)
by: Liu, Xuyang, et al.
Published: (2025)
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation
by: Wang, Shaobo, et al.
Published: (2024)
by: Wang, Shaobo, et al.
Published: (2024)
CronusVLA: Towards Efficient and Robust Manipulation via Multi-Frame Vision-Language-Action Modeling
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
RotVLA: Rotational Latent Action for Vision-Language-Action Model
by: Li, Qiwei, et al.
Published: (2026)
by: Li, Qiwei, et al.
Published: (2026)
Training-Free Zero-Shot Temporal Action Detection with Vision-Language Models
by: Han, Chaolei, et al.
Published: (2025)
by: Han, Chaolei, et al.
Published: (2025)
FreezeVLA: Action-Freezing Attacks against Vision-Language-Action Models
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
UrbanVLA: A Vision-Language-Action Model for Urban Micromobility
by: Li, Anqi, et al.
Published: (2025)
by: Li, Anqi, et al.
Published: (2025)
QuoVLA: Quotient Space for Vision-Language-Action Models
by: Wang, Xuan, et al.
Published: (2026)
by: Wang, Xuan, et al.
Published: (2026)
Similar Items
-
Flash-Unified: A Training-Free and Task-Aware Acceleration Framework for Native Unified Models
by: Ke, Junlong, et al.
Published: (2026) -
QVLA: Not All Channels Are Equal in Vision-Language-Action Model's Quantization
by: Xu, Yuhao, et al.
Published: (2026) -
dVLA: Diffusion Vision-Language-Action Model with Multimodal Chain-of-Thought
by: Wen, Junjie, et al.
Published: (2025) -
VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models
by: Zhang, Borong, et al.
Published: (2025) -
VLA-IAP: Training-Free Visual Token Pruning via Interaction Alignment for Vision-Language-Action Models
by: Cheng, Jintao, et al.
Published: (2026)