arxiv
PublishedSeptember 4, 2026 at 4:00 AM
—neutral
LightEMMA: A Longitudinal Evaluation of Vision-Language Models for Autonomous Driving
Publisher summary· verbatim
arXiv:2505.00284v3 Announce Type: replace-cross Abstract: Rapid advances in vision-language models (VLMs) have generated growing interest in their application to autonomous driving. A prevailing assumption is that successive VLM generations will continually improve driving performance and eventually
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Originally published on arxiv ↗