PaperMentor在Overleaf中提供可操作的论文写作建议，帮助初学者提升稿件质量。
PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf
- 整合专家写作经验库与12类专业智能体，实现分项精准指导
- 用户测试中90.6%的建议被评作可操作，67.5%有效
- 开源可部署，适合科研新手和论文撰写者使用
资深研究者的写作反馈对青年学者提升论文质量至关重要，但高质量反馈因审稿工作量大而稀缺。现有AI写作助手多聚焦语法修正或给出评分，难以提供具体、可执行的修改建议。我们提出PaperMentor，一个以人类为中心的写作辅导系统，在Overleaf中以原生内联评论形式提供可操作建议，同时保持写作主体权完全归于作者。该系统融合从知名研究者处精选的写作技巧库，并集成12个覆盖格式合规、措辞准确性和术语一致性等维度的专业智能体。在14名用户的测试中，90.6%的生成建议被评为可操作，67.5%被评定为有效，显著优于未使用技巧库的GPT-5.2基线。代码已开源，许可协议为AGPL-3.0，可在https://github.com/jiarui-liu/overleaf获取。
原文摘要 · Abstract (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
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