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Emergent Semantic Representations in World Models through Physical Interaction without Linguistic Supervision

arXiv cs.LG ↗ · 2026-05-29 Cached

This paper demonstrates that training a world model through random physical exploration leads to latent representations that encode spatial semantic structure (direction and position) without any linguistic supervision, highlighting physical geometry as the organizing principle.

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