Action Draft and Verify: A Self-Verifying Framework for Vision-Language-Action Model
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Chen, Wang, Zhuoran, Li, Haoyang, Bao, Shifeng, Li, Guanlin, Feng, Youhe, Li, Yang, Tang, Jie, Zhang, Jing |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Pixels to Tokens: A Systematic Study of Latent Action Supervision for Vision-Language-Action Models
by: Lin, Yihan, et al.
Published: (2026)
by: Lin, Yihan, et al.
Published: (2026)
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators
by: Li, Hengtao, et al.
Published: (2025)
by: Li, Hengtao, et al.
Published: (2025)
ActDistill: General Action-Guided Self-Derived Distillation for Efficient Vision-Language-Action Models
by: Ye, Wencheng, et al.
Published: (2025)
by: Ye, Wencheng, 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)
Unified Vision-Language-Action Model
by: Wang, Yuqi, et al.
Published: (2025)
by: Wang, Yuqi, et al.
Published: (2025)
DTP: A Simple yet Effective Distracting Token Pruning Framework for Vision-Language Action Models
by: Li, Chenyang, et al.
Published: (2026)
by: Li, Chenyang, et al.
Published: (2026)
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)
WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation
by: Zhao, Baining, et al.
Published: (2026)
by: Zhao, Baining, et al.
Published: (2026)
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)
SRPO: Self-Referential Policy Optimization for Vision-Language-Action Models
by: Fei, Senyu, et al.
Published: (2025)
by: Fei, Senyu, et al.
Published: (2025)
GigaBrain-0: A World Model-Powered Vision-Language-Action Model
by: GigaBrain Team, et al.
Published: (2025)
by: GigaBrain Team, et al.
Published: (2025)
LLaDA-VLA: Vision Language Diffusion Action Models
by: Wen, Yuqing, et al.
Published: (2025)
by: Wen, Yuqing, et al.
Published: (2025)
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)
MobileVLA-R1: Reinforcing Vision-Language-Action for Mobile Robots
by: Huang, Ting, et al.
Published: (2025)
by: Huang, Ting, et al.
Published: (2025)
UAOR: Uncertainty-aware Observation Reinjection for Vision-Language-Action Models
by: Yang, Jiabing, et al.
Published: (2026)
by: Yang, Jiabing, et al.
Published: (2026)
QDepth-VLA: Quantized Depth Prediction as Auxiliary Supervision for Vision-Language-Action Models
by: Li, Yixuan, et al.
Published: (2025)
by: Li, Yixuan, et al.
Published: (2025)
CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models
by: Song, Wenxuan, et al.
Published: (2026)
by: Song, Wenxuan, et al.
Published: (2026)
ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver
by: Song, Wenxuan, et al.
Published: (2025)
by: Song, Wenxuan, et al.
Published: (2025)
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions
by: Lv, Qi, et al.
Published: (2025)
by: Lv, Qi, et al.
Published: (2025)
InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation
by: Yang, Shuai, et al.
Published: (2025)
by: Yang, Shuai, et al.
Published: (2025)
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)
ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models
by: Tang, Zuojin, et al.
Published: (2026)
by: Tang, Zuojin, et al.
Published: (2026)
Evo-0: Vision-Language-Action Model with Implicit Spatial Understanding
by: Lin, Tao, et al.
Published: (2025)
by: Lin, Tao, et al.
Published: (2025)
Guide, Think, Act: Interactive Embodied Reasoning in Vision-Language-Action Models
by: Ling, Yiran, et al.
Published: (2026)
by: Ling, Yiran, et al.
Published: (2026)
CogVLA: Cognition-Aligned Vision-Language-Action Model via Instruction-Driven Routing & Sparsification
by: Li, Wei, et al.
Published: (2025)
by: Li, Wei, et al.
Published: (2025)
Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denoising Diffusion Process
by: Chen, Jiayi, et al.
Published: (2025)
by: Chen, Jiayi, et al.
Published: (2025)
StreamingVLA: Streaming Vision-Language-Action Model with Action Flow Matching and Adaptive Early Observation
by: Shi, Yiran, et al.
Published: (2026)
by: Shi, Yiran, et al.
Published: (2026)
SpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative Pruning
by: Wang, Hanzhen, et al.
Published: (2025)
by: Wang, Hanzhen, et al.
Published: (2025)
QUAR-VLA: Vision-Language-Action Model for Quadruped Robots
by: Ding, Pengxiang, et al.
Published: (2023)
by: Ding, Pengxiang, et al.
Published: (2023)
GesVLA: Gesture-Aware Vision-Language-Action Model Embedded Representations
by: Guo, Wenxuan, et al.
Published: (2026)
by: Guo, Wenxuan, et al.
Published: (2026)
What Matters in Building Vision-Language-Action Models for Generalist Robots
by: Li, Xinghang, et al.
Published: (2024)
by: Li, Xinghang, et al.
Published: (2024)
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)
CLAP: Contrastive Latent Action Pretraining for Learning Vision-Language-Action Models from Human Videos
by: Zhang, Chubin, et al.
Published: (2026)
by: Zhang, Chubin, et al.
Published: (2026)
Evo-Depth: A Lightweight Depth-Enhanced Vision-Language-Action Model
by: Lin, Tao, et al.
Published: (2026)
by: Lin, Tao, et al.
Published: (2026)
FASTer: Toward Efficient Autoregressive Vision Language Action Modeling via Neural Action Tokenization
by: Liu, Yicheng, et al.
Published: (2025)
by: Liu, Yicheng, et al.
Published: (2025)
FD-VLA: Force-Distilled Vision-Language-Action Model for Contact-Rich Manipulation
by: Zhao, Ruiteng, et al.
Published: (2026)
by: Zhao, Ruiteng, et al.
Published: (2026)
ReViP: Mitigating False Completion in Vision-Language-Action Models with Vision-Proprioception Rebalance
by: Li, Zhuohao, et al.
Published: (2026)
by: Li, Zhuohao, et al.
Published: (2026)
VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers
by: Wang, Yating, et al.
Published: (2025)
by: Wang, Yating, et al.
Published: (2025)
RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning
by: Kim, Seungku, et al.
Published: (2026)
by: Kim, Seungku, et al.
Published: (2026)
PointACT: Vision-Language-Action Models with Multi-Scale Point-Action Interaction
by: Chen, Shizhe, et al.
Published: (2026)
by: Chen, Shizhe, et al.
Published: (2026)
Similar Items
-
From Pixels to Tokens: A Systematic Study of Latent Action Supervision for Vision-Language-Action Models
by: Lin, Yihan, et al.
Published: (2026) -
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators
by: Li, Hengtao, et al.
Published: (2025) -
ActDistill: General Action-Guided Self-Derived Distillation for Efficient Vision-Language-Action Models
by: Ye, Wencheng, et al.
Published: (2025) -
RotVLA: Rotational Latent Action for Vision-Language-Action Model
by: Li, Qiwei, et al.
Published: (2026) -
Unified Vision-Language-Action Model
by: Wang, Yuqi, et al.
Published: (2025)