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Large Language Models and Games: A Survey and Roadmap
March 1, 2024, 5:49 a.m. | Roberto Gallotta, Graham Todd, Marvin Zammit, Sam Earle, Antonios Liapis, Julian Togelius, Georgios N. Yannakakis
cs.CL updates on arXiv.org arxiv.org
Abstract: Recent years have seen an explosive increase in research on large language models (LLMs), and accompanying public engagement on the topic. While starting as a niche area within natural language processing, LLMs have shown remarkable potential across a broad range of applications and domains, including games. This paper surveys the current state of the art across the various applications of LLMs in and for games, and identifies the different roles LLMs can take within a …
abstract applications arxiv cs.ai cs.cl cs.hc domains engagement games language language models language processing large language large language models llms natural natural language natural language processing processing public research roadmap survey type
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