PaperMentor：面向Overleaf的以人为中心的多智能体AI研究论文写作导师

摘要

来自资深研究者的专业写作反馈对于早期职业学者改进手稿至关重要，然而高质量的反馈往往稀缺，因为审阅研究论文需要投入大量人力。新兴的AI写作助手主要集中于语法修正或以最终评分模拟同行评审，但未能提供具体可行的建议来帮助学生在写作过程中改进论文。我们提出PaperMentor，一个以人为中心的写作辅助系统，它以Overleaf原生内联评论的形式提供可操作的建议，同时将实际写作完全交给人类作者。PaperMentor整合了从资深研究者写作建议中精心提炼的专家技能库，并配备12个涵盖论文写作不同方面的专业智能体，如格式合规性、措辞准确性及术语一致性。在一项用户研究（n=14）中，生成评论的90.6%被评定为可操作，67.5%被评定为有效，显著优于未使用技能库的GPT-5.2基线。我们将PaperMentor作为开源项目发布供公众使用。我们的代码根据AGPL-3.0许可证在https://github.com/jiarui-liu/overleaf上公开。

English

Expert writing feedback from experienced researchers is critical for early-career scholars to improve their manuscripts, yet high-quality feedback often remains scarce because reviewing research papers is labor-intensive. Emerging AI-powered writing assistants largely focus on grammar fixes or simulating peer review with final scores, yet they fall short of providing concrete, actionable suggestions that help students improve their papers during drafting. We present PaperMentor, a human-centered writing assistant system that delivers actionable suggestions as Overleaf-native inline comments while leaving the actual writing entirely to human authors. PaperMentor integrates an expert skill library carefully curated from established researchers' writing advice with 12 specialized agents covering different aspects of paper writing, such as formatting compliance, phrasing accuracy, and terminology consistency. In a user study (n=14), 90.6% of the generated comments were rated actionable and 67.5% were rated valid, significantly outperforming a GPT-5.2 baseline uswithout the skill library. We release PaperMentor as open source for public use. Our code is publicly available under the AGPL-3.0 license at https://github.com/jiarui-liu/overleaf