Few-Shot Demonstrations Elicit the Use of In-Context World Representations in LLMs.

arXiv:2609.24352v1 Announce Type: new Abstract: Large language models (LLMs), when acting as agents, are expected to take observed data in context, infer the latent state space underlying the world, and leverage it for downstream prediction. However, prior wor