May 14, 2024, 4:49 a.m. | Muhammad U. Nasir, Steven James, Julian Togelius

cs.CL updates on

arXiv:2405.06686v1 Announce Type: new
Abstract: Large Language Models (LLMs) have proven their worth across a diverse spectrum of disciplines. LLMs have shown great potential in Procedural Content Generation (PCG) as well, but directly generating a level through a pre-trained LLM is still challenging. This work introduces Word2World, a system that enables LLMs to procedurally design playable games through stories, without any task-specific fine-tuning. Word2World leverages the abilities of LLMs to create diverse content and extract information. Combining these abilities, LLMs …

arxiv language language models large language large language models stories through type

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