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VerNav: Verifier-First Low-Latency Vision-and-Language Navigation

arXiv · AI, language, vision and robotics · article · Sep 1, 2026 · UTC

Vision-and-Language Navigation (VLN) requires an agent to navigate through unseen 3D environments according to natural-language instructions. Explicit reasoning can improve instruction understanding and semantic grounding, but autoregressive generation at every step accumulates large decision-stage latency over multi-step navigation. We propose VerNav, a verifier-first framework for low-latency LLM-based VLN. The verifier reduces decision-stage latency by replacing per-step autoregressive generation with batched action verification, while an entropy-based adaptive generator is invoked only for

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First collected: 2026-09-21T06:11:57.537Z. This is not the publication date.