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| 生成式人工智能在科技期刊出版中的实践与思考——以中国激光杂志社为例 |
| The Practice and Considerations of Generative Artificial Intelligence in Scientific Journal Publishing: A Case Study of China Laser Press |
| 投稿时间：2025-12-02 修订日期：2026-01-13 |
| DOI： |
| 中文关键词: 科技期刊 生成式人工智能 新媒体 数字出版平台 光学垂类语言模型 |
| 英文关键词: Scientific and technological journals Generative artificial intelligence New media Digital publishing platforms Optical vertical domain language model |
| 基金项目:中国科技期刊卓越行动计划二期“集群(集团)化试点项目-B5”；2024年中国科学院自然科学期刊编辑研究会研究课题(YJH202419) |
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| 摘要点击次数: 1153 |
| 全文下载次数: 759 |
| 中文摘要: |
| 生成式人工智能是推动科技期刊高质量发展的新动能。本文总结归纳了科技期刊应用生成式人工智能的必要条件，并以中国激光杂志社为例，系统梳理其数据资源建设、光学垂类语言模型构建，以及在新媒体、数字出版平台等场景的应用实践与成效。实践表明，生成式人工智能有助于提升用户触达范围与互动性，延伸学科知识服务，加速出版数智化发展进程。本文重点探讨生成垂类内容的准确性与创新性；资源有限的单刊依托集群平台共享人工智能赋能，是更为可行的发展路径；编辑则需承担起更具创造性的策划与质量把控职责。本文可为同行在人工智能战略布局、人才培养与应用落地等方面提供有益参考，助力开拓世界一流科技期刊建设的新思路。 |
| 英文摘要: |
| Generative artificial intelligence serves as a new driving force for the high - quality development of scientific and technological journals (STJs). We summarize the necessary conditions for STJs to apply GenAI and take Chinese Laser Press as a case study to present a systematical research. We sort out the data resource development, the construction of the optical vertical domain language model, as well as the application practices and effects in scenarios such as new media and digital publishing platforms. GenAI helps expand user reach and interactivity, extend disciplinary knowledge services, and accelerate the digital and intelligent development of publishing. The accuracy and innovation of the generated vertical domain content are discussed. For a single journal with limited resource, it is more feasible to join a journal cluster platform and share AI empowerment. Editors need assume more responsibilities in creative planning and quality control. We hope to provide useful references for peers in terms of AI strategic layout, talent training, and application implementation, and help explore new ideas for building world - class STJs. |
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