生成式AI回答事实型参考咨询问题的效果与启示

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中图分类号：G252.61；TP18 文献标识码：A

Abstract As large language model technology continues to mature，generative AI is reshaping various industries.This studyevaluatestheefectivenessofgenerativeAI inrespondingtofact-basedreferencequestions withinreal-worldlibrary service scenarios.Teselectedquestions，characterizedbystrongobjectivitycover fourcategories：statisticalinformation， noun definitions，origins of allusions，and historicalresearch.Four generative AI models werechosen to generate answers based onthe original queries，and their responses were compared with standard replies providedby librarians to assess performance.The analysis reveals that while generative AI demonstrates strong capabilities in informationretrieval and generation，its performanceinprovidingauthoritative sources remains inconsistent.Moreover，itlackstheability to deeplyunderstand and integrate information to answer more specialized inquiries.The future of reference services necesitates that libraryprofessionals leverage theirinnovativecapacities tocontinuously explore and refine strateges for AI integration.

KeyWordsartificialintellgence;referencesvices;largelanguagemodel;smartlibrary;artificialintelligencegeated content

1引言

2022年11月，OpenAI的生成式人工智能（ArtificialIntelligence，AI）应用ChatGPT上线，其智能化解析自然语言输入并生成连贯文本的能力为问答系统以及人工智能生成内容带来了颠覆性变革。（剩余5270字）