# How To Train Your World Model: Fine-tuning vs RAG for LM-based World Modeling

**Published:** October 5, 2026
**Author:** Dhananjay Ashok, Shantanu Agarwal, Vivek Datla, Jonathan May, Alfy Samuel
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/how-to-train-your-world-model-fine-tuning-vs-rag-for-lm-based-world-mode

World models (WMs) simulate the transition dynamics of environments, enabling agents to plan over the consequences of their actions. In text-based environments, fine-tuning a Language Model (LM) to serve as a WM has emerged as a dominant paradigm. However, despite the widespread…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2610.02542)

**Tags:** #arXiv

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