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Language-Conditioned World Modeling for Visual Navigation
LCVN introduces a language-conditioned navigation benchmark and compares diffusion-based latent imagination against unified autoregressive prediction for embodied agents. Latent imagination yields more temporally coherent rollouts, while unified prediction generalizes better to unseen environments.
Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 3/5