CoAuthorAI：一种用于科学书籍写作的人机协作系统
CoAuthorAI: A Human in the Loop System For Scientific Book Writing
AI总结：
CoAuthorAI通过人机协作系统，结合检索增强生成、专家设计的层级大纲和自动参考链接，提升科学书籍写作的准确性和一致性，实现从文章到整本书的出版扩展。
摘要：
大型语言模型（LLMs）在科学写作中日益被使用，但在书籍长度的任务中表现不佳，常产生结构不一致和不可靠的引用。我们介绍了CoAuthorAI，一种人机协作写作系统，结合检索增强生成、专家设计的层级大纲和自动参考链接。该系统允许专家在句子层面迭代优化文本，确保连贯性和准确性。在对500个多领域文献综述章节的评估中，CoAuthorAI实现了最大软标题召回率为98%；在对100篇文章的人工评估中，生成内容的满意度率为82%。由CoAuthorAI和Kexin Technology的LUFFA AI模型生成的《岩石动力学》书籍已由Springer Nature出版。这些结果表明，系统化的人机协作可以将LLMs的能力从文章扩展到整本书，实现更快更可靠的科学出版。
英文摘要：
Large language models (LLMs) are increasingly used in scientific writing but struggle with book-length tasks, often producing inconsistent structure and unreliable citations. We introduce CoAuthorAI, a human-in-the-loop writing system that combines retrieval-augmented generation, expert-designed hierarchical outlines, and automatic reference linking. The system allows experts to iteratively refine text at the sentence level, ensuring coherence and accuracy. In evaluations of 500 multi-domain literature review chapters, CoAuthorAI achieved a maximum soft-heading recall of 98%; in a human evaluation of 100 articles, the generated content reached a satisfaction rate of 82%. The book AI for Rock Dynamics generated with CoAuthorAI and Kexin Technology's LUFFA AI model has been published with Springer Nature. These results show that systematic human-AI collaboration can extend LLMs' capabilities from articles to full-length books, enabling faster and more reliable scientific publishing.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
