Good Papers

Showing papers from Five AI Show all papers

67%Highly rated
?Highly ratedVote to see the score

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

Kemal Oksuz, Alexandru Buburuzan, Yuhan Yao, Puneet Dokania

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
78%Highly rated
?Highly ratedVote to see the score

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

LADA trains vision-language-action models using under 5% language annotations via latent action codebooks, achieving 87.98 driving scores on Bench2Drive.

Alexey Zakharov, Kemal Oksuz, Puneet Dokania

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5