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cs.CV2026
DriveMA: Driving Vision-Language-Action Models with verifiable Meta-Actions
Weicheng Zheng, Yixin Huang, Qiao Sun +2
Driving Vision-Language-Action Models (Driving VLAs) aim to use language to improve end-to-end planning, but the language-action gap limits this promise. We propose DriveMA, a Driv…
cs.CV2026
DriveMA: Rethinking Language Interfaces in Driving VLAs with One-Step Meta-Actions
Weicheng Zheng, Yixin Huang, Qiao Sun +2
Driving Vision-Language-Action Models (Driving VLAs) commonly introduce natural-language reasoning as an intermediate interface for end-to-end planning, but reasoning-centric inter…