mlsanityData to 14 Oct 2026

A Survey of Large Models in Sports

arXiv 2608.14377 ↗First posted 14 Aug 2026cs.CL cs.CVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 112 of its 281 references that are in the map. First posted on arXiv 14 Aug 2026.

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112 of 281 references.

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