Computer and Modernization ›› 2025, Vol. 0 ›› Issue (03): 29-37.doi: 10.3969/j.issn.1006-2475.2025.03.005

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Review of Large Language Model Question Answering Systems for International Event Analysis

  

  1. (North China Institute of Computing Technology, Beijing 100083, China) 
  • Online:2025-03-28 Published:2025-03-28

Abstract:  As the core focus of current artificial intelligence research, large language models have demonstrated strong cross-domain understanding and generation capabilities. They are widely used in many fields including event analysis, and promote the innovation and development of intelligent question answering system with its excellent performance. Although large language models show strong processing ability in general Q&A scenarios, they still face challenges in dealing with international events with deep professional backgrounds and high dynamics that affect international relations. In recent years, many scholars have focused on domain-specific large language models and quantitative analysis system for international relations, but there are few literature reviews on the cross-field of the combination of the two. In order to provide a comprehensive framework for developers and researchers of large language model question answering systems for international event analysis. Firstly, starting from the early international event analysis system, combined with the actual needs of international event analysis, the applicability of various general large language models in this task is analyzed. Secondly, by referring to the successful cases in the fields of finance, education, medicine, law, etc., the strategy of constructing the domain-specific large-model question-and-answer system for international event analysis is extracted. In addition, the open data set resources closely related to the task are systematically combed. Finally, the current bottleneck and the future development direction are deeply analyzed.

Key words:  , domain-specific large language model; analysis of international events; large language model Q&, A system; event detection; event prediction

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