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Survey paper details large models' impact on sports industry

A new survey paper explores the application of large language models (LLMs) and multimodal LLMs within the sports industry. The paper categorizes tasks and applications for various user groups, analyzes sports-specific datasets and benchmarks, and discusses current challenges and future research directions. The authors aim to provide a foundational understanding for developing large-model-driven sports intelligence, maintaining an open-source GitHub repository for related resources. AI

IMPACT Provides a foundational overview for leveraging LLMs in sports analytics and interaction.

RANK_REASON The item is a survey paper published on arXiv detailing the application of LLMs in a specific domain (sports). [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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Survey paper details large models' impact on sports industry

COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yichen Xu, Jianzhe Ma, Chuhan Wang, Zhonghao Cao, Liangyu Chen, Wenxuan Wang, Qin Jin ·

    A Survey of Large Models in Sports

    arXiv:2608.14377v1 Announce Type: new 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 (multimoda…