Paper page - PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf

Source: https://huggingface.co/papers/2606.08857 Authors:

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Abstract

A human-centered writing assistant system called PaperMentor integrates expert research advice with specialized agents to provide actionable feedback during manuscript drafting, outperforming AI baselines in usability and relevance.

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. EmergingAI-powered writing assistantslargely focus ongrammar fixesor simulating peer review with final scores, yet they fall short of providing concrete,actionable suggestionsthat help students improve their papers during drafting. We present PaperMentor, a human-centered writing assistant system that deliversactionable suggestionsasOverleaf-native inline commentswhile leaving the actual writing entirely to human authors. PaperMentor integrates anexpert skill librarycarefully curated from established researchers’ writing advice with 12specialized agentscovering different aspects of paper writing, such as formatting compliance, phrasing accuracy, and terminology consistency. In auser 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 asopen sourcefor public use. Our code is publicly available under the AGPL-3.0 license at https://github.com/jiarui-liu/overleaf

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