Is VLA Reasoning Faithful? Probing Safety of Chain-of-Causation in Autonomous Driving Models
Fuente:
arXiv
Saved in:
| Main Authors: | Mayumu, Nicanor, Deng, Xiaoheng, Mukala, Patrick |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RVLM: Recursive Vision-Language Models with Adaptive Depth
by: Mayumu, Nicanor, et al.
Published: (2026)
by: Mayumu, Nicanor, et al.
Published: (2026)
DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving
by: Jiang, Anqing, et al.
Published: (2025)
by: Jiang, Anqing, et al.
Published: (2025)
HiST-VLA: A Hierarchical Spatio-Temporal Vision-Language-Action Model for End-to-End Autonomous Driving
by: Wang, Yiru, et al.
Published: (2026)
by: Wang, Yiru, et al.
Published: (2026)
TrackVLA++: Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual Tracking
by: Liu, Jiahang, et al.
Published: (2025)
by: Liu, Jiahang, et al.
Published: (2025)
VERDI: VLM-Embedded Reasoning for Autonomous Driving
by: Feng, Bowen, et al.
Published: (2025)
by: Feng, Bowen, et al.
Published: (2025)
CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting
by: Liao, Haicheng, et al.
Published: (2025)
by: Liao, Haicheng, et al.
Published: (2025)
WAM-Diff: A Masked Diffusion VLA Framework with MoE and Online Reinforcement Learning for Autonomous Driving
by: Xu, Mingwang, et al.
Published: (2025)
by: Xu, Mingwang, et al.
Published: (2025)
Grounding Driving VLA via Inverse Kinematics
by: Park, Junsung, et al.
Published: (2026)
by: Park, Junsung, et al.
Published: (2026)
ChainFlow-VLA: Causal Flow Planning with Vision-Language Models
by: Wang, Xiyang, et al.
Published: (2026)
by: Wang, Xiyang, et al.
Published: (2026)
CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models
by: Zhao, Qingqing, et al.
Published: (2025)
by: Zhao, Qingqing, et al.
Published: (2025)
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation
by: Chu, Detian, et al.
Published: (2024)
by: Chu, Detian, et al.
Published: (2024)
CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models
by: Sheng, Zihao, et al.
Published: (2025)
by: Sheng, Zihao, et al.
Published: (2025)
VLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image Reasoning
by: Wang, Chaoyang, et al.
Published: (2026)
by: Wang, Chaoyang, et al.
Published: (2026)
AerialVLA: A Vision-Language-Action Model for UAV Navigation via Minimalist End-to-End Control
by: Xu, Peng, et al.
Published: (2026)
by: Xu, Peng, et al.
Published: (2026)
Behavioral Cloning Models Reality Check for Autonomous Driving
by: Yildirim, Mustafa, et al.
Published: (2024)
by: Yildirim, Mustafa, et al.
Published: (2024)
DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving
by: Zhou, Yang, et al.
Published: (2026)
by: Zhou, Yang, et al.
Published: (2026)
A Survey on Vision-Language-Action Models for Autonomous Driving
by: Jiang, Sicong, et al.
Published: (2025)
by: Jiang, Sicong, et al.
Published: (2025)
DriveCritic: Towards Context-Aware, Human-Aligned Evaluation for Autonomous Driving with Vision-Language Models
by: Song, Jingyu, et al.
Published: (2025)
by: Song, Jingyu, et al.
Published: (2025)
DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving
by: Yang, Zhenjie, et al.
Published: (2025)
by: Yang, Zhenjie, et al.
Published: (2025)
IntentionVLA: Generalizable and Efficient Embodied Intention Reasoning for Human-Robot Interaction
by: Chen, Yandu, et al.
Published: (2025)
by: Chen, Yandu, et al.
Published: (2025)
ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge
by: Zhou, Zhongyi, et al.
Published: (2025)
by: Zhou, Zhongyi, et al.
Published: (2025)
DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale
by: Zuo, Sicheng, et al.
Published: (2026)
by: Zuo, Sicheng, et al.
Published: (2026)
M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving
by: Xu, Dongyang, et al.
Published: (2024)
by: Xu, Dongyang, et al.
Published: (2024)
DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
by: Huang, Zilin, et al.
Published: (2026)
by: Huang, Zilin, et al.
Published: (2026)
DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving
by: Yang, Xuemeng, et al.
Published: (2024)
by: Yang, Xuemeng, et al.
Published: (2024)
Data Shift of Object Detection in Autonomous Driving
by: Xu, Lida
Published: (2025)
by: Xu, Lida
Published: (2025)
Generative AI for Autonomous Driving: A Review
by: Winter, Katharina, et al.
Published: (2025)
by: Winter, Katharina, et al.
Published: (2025)
Generative AI for Autonomous Driving: Frontiers and Opportunities
by: Wang, Yuping, et al.
Published: (2025)
by: Wang, Yuping, et al.
Published: (2025)
Reasoning-VLA: A Fast and General Vision-Language-Action Reasoning Model for Autonomous Driving
by: Zhang, Dapeng, et al.
Published: (2025)
by: Zhang, Dapeng, et al.
Published: (2025)
Less is More: Lean yet Powerful Vision-Language Model for Autonomous Driving
by: Yang, Sheng, et al.
Published: (2025)
by: Yang, Sheng, et al.
Published: (2025)
Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)
by: Yang, Zhenjie, et al.
Published: (2025)
by: Yang, Zhenjie, et al.
Published: (2025)
VLANeXt: Recipes for Building Strong VLA Models
by: Wu, Xiao-Ming, et al.
Published: (2026)
by: Wu, Xiao-Ming, et al.
Published: (2026)
AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving
by: Yuan, Zhenlong, et al.
Published: (2025)
by: Yuan, Zhenlong, et al.
Published: (2025)
V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views
by: You, Junwei, et al.
Published: (2026)
by: You, Junwei, et al.
Published: (2026)
Risk-Aware World Model Predictive Control for Generalizable End-to-End Autonomous Driving
by: Sun, Jiangxin, et al.
Published: (2026)
by: Sun, Jiangxin, et al.
Published: (2026)
LingoQA: Visual Question Answering for Autonomous Driving
by: Marcu, Ana-Maria, et al.
Published: (2023)
by: Marcu, Ana-Maria, et al.
Published: (2023)
A Low-Rank Method for Vision Language Model Hallucination Mitigation in Autonomous Driving
by: Long, Keke, et al.
Published: (2025)
by: Long, Keke, et al.
Published: (2025)
Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent
by: He, Linfeng, et al.
Published: (2024)
by: He, Linfeng, et al.
Published: (2024)
VaViM and VaVAM: Autonomous Driving through Video Generative Modeling
by: Bartoccioni, Florent, et al.
Published: (2025)
by: Bartoccioni, Florent, et al.
Published: (2025)
GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving
by: Russell, Lloyd, et al.
Published: (2025)
by: Russell, Lloyd, et al.
Published: (2025)
Similar Items
-
RVLM: Recursive Vision-Language Models with Adaptive Depth
by: Mayumu, Nicanor, et al.
Published: (2026) -
DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving
by: Jiang, Anqing, et al.
Published: (2025) -
HiST-VLA: A Hierarchical Spatio-Temporal Vision-Language-Action Model for End-to-End Autonomous Driving
by: Wang, Yiru, et al.
Published: (2026) -
TrackVLA++: Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual Tracking
by: Liu, Jiahang, et al.
Published: (2025) -
VERDI: VLM-Embedded Reasoning for Autonomous Driving
by: Feng, Bowen, et al.
Published: (2025)