综述大模型在体育领域的应用现状与挑战
A Survey of Large Models in Sports
- 系统梳理体育领域大模型的任务与应用场景
- 分析主流体育数据集与评测基准
- 适合关注体育智能研究的学者与开发者
近年来，体育在全球范围内引发日益高涨的热情，成为促进身心健康、文化交流、社会联结和经济增长的重要力量。大型模型，尤其是多模态大语言模型（M）LLMs，展现出重塑体育理解、分析与交互方式的变革潜力。本文全面综述了大模型在体育领域的研究进展，涵盖：(i) 不同参与群体的任务与应用概览；(ii) 体育相关数据集与评测基准的详细分析；(iii) 当前挑战与未来发展方向的批判性讨论。旨在为基于大模型的体育智能研究与实践发展奠定基础。开源项目仓库已发布于：https://github.com/Road2Redemption/Awesome_Large_Models_In_Sports1。
原文摘要 · Abstract (English)
Sports have witnessed growing global enthusiasm in recent years, serving as a vital force for physical health, cultural exchange, social connection, and economic growth. The rapid advancement of large models, particularly (multimodal) large language models (M)LLMs, has demonstrated transformative potential to reshape sports understanding, analysis, and interaction across diverse domains. This paper presents a comprehensive survey of large models in sports, including (i) an overview of tasks and applications across different participant groups; (ii) a detailed analysis of sports-related datasets and benchmarks; and (iii) a critical discussion of current challenges and future directions. Our goal is to establish a foundation for advancing research and practical development of large-model-driven sports intelligence. An open-source GitHub repository is maintained at: https://github.com/Road2Redemption/Awesome_Large_Models_In_Sports1.
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