DriveVLA-M0 uses failure-aware latent memory and decoupled LoRA test-time training to adapt a driving VLA model at inference, reaching 94.1 PDMS on NAVSIMv1 and 47.0 EPDMS on NAVSIMv2.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
DriveVLA-M0: Failure-Aware Memory Augmentation for Autonomous Driving
DriveVLA-M0 uses failure-aware latent memory and decoupled LoRA test-time training to adapt a driving VLA model at inference, reaching 94.1 PDMS on NAVSIMv1 and 47.0 EPDMS on NAVSIMv2.