2 papers
cs.CV2026
Vision-Language-Action Autonomous Driving Agent with Language-based Memory
Kai Yan, Xiangyu Chen, Yulong Cao +9
Vision-Language-Action (VLA) foundation models have recently emerged as one of the prevailing solutions for autonomous driving, as they can utilize knowledge acquired during vision…
cs.CV2026
TTRSD: Test-Time Reinforcement Learning with Self-Distillation for Vision-Language Models
Shuning Wang, Zhiheng Wu, Xun Zhou +8
Test-time reinforcement learning enables vision-language models (VLMs) to adapt using unlabeled inputs. However, repeated sampling under fixed visual conditions can reinforce share…