Go to ACL ARR 2026 January homepageA Survey of Large Models in Sports
Keywords: Large Models, Sports Intelligence, Datasets and Benchmarks
Abstract: 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 as a continuously updated resource: https://anonymous.4open.science/r/Anonym202B.
Paper Type: Long
Research Area: Multimodality and Language Grounding to Vision, Robotics and Beyond
Research Area Keywords: cross-modal application, multimodality, cross-modal information extraction, vision question answering
Contribution Types: Surveys
Languages Studied: English
Submission Number: 6033
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