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OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation

Hugging Face Daily Papers ↗ · 2026-04-20 Cached

OneVL is a unified vision-language-action framework that compresses chain-of-thought reasoning into latent tokens supervised by both language and visual world model decoders, achieving state-of-the-art trajectory prediction accuracy for autonomous driving at answer-only inference latency. It is the first latent CoT method to surpass explicit CoT across four benchmarks.

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