How to train your world model: fine-tuning vs RAG for LM-based world modeling
Read the original at arxiv.org→arXiv:2610.02542v1 Announce Type: new Abstract: World models (WMs) simulate the transition dynamics of environments, enabling agents to plan over the consequences of their actions. In text-based environments,...
Original headline: "How To Train Your World Model: Fine-tuning vs RAG for LM-based World Modeling"
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- Oct 5, 04:00 UTC arXiv cs.AI lead source How To Train Your World Model: Fine-tuning vs RAG for LM-based World Modeling