Author

Kemal Oksuz

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#machine learning Preprint Sep 2026

Less Language, More Latents: Annotation-Efficient VLAs for Driving

A three-stage pipeline that transforms abundant unlabelled observation-trajectory pairs into a substrate for language-conditioned control and achieves a Driving Score of 87.98 and a Success Rate of 70.46%, matching or surpassing fully supervised baselines on the closed-loop Bench2Drive benchmark.

Alexey Zakharov, Kemal Oksuz, P. Dokania · 0 citations

Preprint Sep 2026

FIVE-VLA: Fast and EffectIVE Autonomous Driving with Recurrent Action Memory

Recurrent Action Memory (RAM) is proposed, a lightweight module that conditions action prediction on previous action tokens, providing temporal context critical for manoeuvres such as overtaking and emergency braking.

Kemal Oksuz, Alexandru Buburuzan, Yu-Han Yao et al. · 0 citations