探讨生成式AI时代信息检索的未来方向与挑战
Future of Information Retrieval Research in the Age of Generative AI
- 汇聚44位专家研讨生成式AI如何重塑信息检索
- 提出跨领域研究议题与学术产业合作建议
- 适合关注AI搜索、人机交互的研究者与从业者
在信息检索（IR）快速演进的背景下，生成式AI技术（如大语言模型）正改变用户获取与交互信息的方式。为应对这一范式转变，计算社区联盟（CCC）于2024年7月举办了一场聚焦信息检索与生成式AI交叉领域（IR-GenAI）的愿景研讨会。会议召集了来自学术界、产业界和政府机构的44位信息检索、自然语言处理、人机交互及人工智能领域的专家，共同探讨生成式AI如何增强信息检索，以及信息检索如何反哺生成式AI，识别该快速发展的领域的重大挑战与机遇。本报告总结了讨论内容，列出若干潜在重要研究方向，并向学术界、产业界、机构、评估活动及资助机构提出具体建议。
原文摘要 · Abstract (English)
In the fast-evolving field of information retrieval (IR), the integration of generative AI technologies such as large language models (LLMs) is transforming how users search for and interact with information. Recognizing this paradigm shift at the intersection of IR and generative AI (IR-GenAI), a visioning workshop supported by the Computing Community Consortium (CCC) was held in July 2024 to discuss the future of IR in the age of generative AI. This workshop convened 44 experts in information retrieval, natural language processing, human-computer interaction, and artificial intelligence from academia, industry, and government to explore how generative AI can enhance IR and vice versa, and to identify the major challenges and opportunities in this rapidly advancing field. This report contains a summary of discussions as potentially important research topics and contains a list of recommendations for academics, industry practitioners, institutions, evaluation campaigns, and funding agencies.
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