NAVER AI Lab releases LaLa-World, scaling latent world models with natural-language actions
naver-ai · hf · 2026-10-23
NAVER AI Lab, with Georgia Tech and Brown, introduces LaLa-World, a language-conditioned latent world model.
- Adopts the language-conditioned interface of video generation models so JEPA-style latent world models can learn jointly across simulation, robot trajectories, and image/video data.
- Enables efficient model-predictive planning "with imagination" and serves as policy initialization for downstream fine-tuning.
- Positioned as an effective, efficient foundation that unifies world-model training across previously disjoint data domains.
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