This paper presents a preliminary scoping review of the research on Large Language Models (LLMs) and video games, published between 2022 and early 2024. The review aims to capture the current state of LLM research in games and lay the groundwork for future work. The authors conducted a Google Scholar search, identifying 76 relevant papers out of 2260 results. These papers were categorized into four main themes: Game AI and Agents, Game Development and Play, Narrative, Story, and Dialogue, and Game Research and Reviews. The most commonly used LLMs were GPT, followed by LLaMA, Codex, and BERT. The review found that LLMs have shown promise in various aspects of game development, including agent design, content generation, and narrative generation. However, challenges such as lack of logical reasoning ability and unpredictability were also noted. The paper concludes by highlighting the rapid progress in this field and the potential for LLMs to revolutionize video game development and research.This paper presents a preliminary scoping review of the research on Large Language Models (LLMs) and video games, published between 2022 and early 2024. The review aims to capture the current state of LLM research in games and lay the groundwork for future work. The authors conducted a Google Scholar search, identifying 76 relevant papers out of 2260 results. These papers were categorized into four main themes: Game AI and Agents, Game Development and Play, Narrative, Story, and Dialogue, and Game Research and Reviews. The most commonly used LLMs were GPT, followed by LLaMA, Codex, and BERT. The review found that LLMs have shown promise in various aspects of game development, including agent design, content generation, and narrative generation. However, challenges such as lack of logical reasoning ability and unpredictability were also noted. The paper concludes by highlighting the rapid progress in this field and the potential for LLMs to revolutionize video game development and research.