体育领域的大模型综述
A Survey of Large Models in Sports
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中文总结 AI 辅助
该文综述体育领域大模型的任务应用、数据集基准，分析挑战与未来方向，为大模型驱动的体育智能研究与发展提供基础。
中文摘要 AI 辅助
近年来，全球对体育的热情不断高涨，体育成为促进身体健康、文化交流、社会联结与经济增长的重要力量。大模型，尤其是多模态大语言模型（MLLMs）的快速发展，展现出重塑体育理解、分析及跨领域交互的变革潜力。本文对体育领域的大模型进行全面综述，涵盖三部分内容：一是不同参与群体的任务与应用概述；二是体育相关数据集与基准的详细分析；三是当前挑战与未来方向的批判性讨论。研究旨在为推进大模型驱动的体育智能的研究与实际发展奠定基础，相关开源GitHub仓库地址为：this https URL。
英文摘要
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.
发表机构
- Renmin University of China（中国人民大学）
- Sichuan University（四川大学）
- Beijing University of Posts and Telecommunications（北京邮电大学）
机构由 AI 辅助整理，请以论文原文为准。
