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Heejeong Nam

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Preprint Oct 2026

LaLa-World: Scaling Latent World Models with Natural Language Actions

This paper shows that JEPA-style latent world models (LWMs) can learn across diverse domains and data sources by adopting the language-conditioned interface of video generation models. We establish this approach as an effective and efficient basis for planning with imagination and downstream policy fine-tuning. To this...

Jun-Ha Song, Geonmo Gu, Jeongeun Park et al. · 0 citations

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