---
title: "Bibby AI -- AI Latex Editor writing assistant for researchers vs Overleaf Alternative vs OpenAI Prism. (Bibby AI Latex Editor)"
canonical_url: "https://www.modelscope.cn/papers/245419"
md_url: "https://www.modelscope.cn/papers/245419.md"
arxiv_id: 2602.16432
published: 2026-02-18
last_updated: 2026-02-18
authors:
  - "Nilesh jain"
  - "Rohit Yadav"
  - "Andrej Karpathy"
model_name: "Bibby AI"
model_developer: "Yale University"
domain:
  - "人工智能"
  - "自然语言处理"
  - "软件工程"
  - "学术写作工具"
  - "LaTeX 编译"
type:
  - "人工智能"
  - "自然语言处理"
  - "软件工程"
  - "学术写作工具"
  - "LaTeX 编译"
  - "Emerging Technologies"
arxiv_url: "https://arxiv.org/abs/2602.16432"
pdf_url: "https://arxiv.org/pdf/2602.16432"
---

# Bibby AI -- AI Latex Editor writing assistant for researchers vs Overleaf Alternative vs OpenAI Prism. (Bibby AI Latex Editor)

> Large language models are increasingly integrated into academic writing workflows; however, the most widely used \LaTeX\ editors remain AI-peripheral -- offering compilation and collaboration, but no native intelligence. This separation forces researchers to…

「Bibby AI -- AI Latex Editor writing assistant for researchers vs Overleaf Alternative vs OpenAI Prism. (Bibby AI Latex Editor)」是 ModelScope 魔搭社区收录的论文，arXiv 2602.16432，作者为 Nilesh jain, Rohit Yadav, Andrej Karpathy，发表于 2026-02-18，属于 人工智能、自然语言处理、软件工程 领域。

- **ArXiv**: 2602.16432
- **Published**: 2026-02-18
- **Authors**: Nilesh jain, Rohit Yadav, Andrej Karpathy
- **Model**: Bibby AI
- **Developer**: Yale University
- **Domain**: 人工智能, 自然语言处理, 软件工程, 学术写作工具, LaTeX 编译
- **ArXiv URL**: https://arxiv.org/abs/2602.16432
- **PDF**: https://arxiv.org/pdf/2602.16432

Source: https://www.modelscope.cn/papers/245419

---

> Bibby AI：首个原生AI驱动的LaTeX编辑器，让学术写作从‘复制粘贴式拼凑’迈向‘全栈智能协同’

## 摘要

本文针对当前主流LaTeX编辑器（如Overleaf）缺乏原生AI能力、导致学术写作流程碎片化的问题，提出Bibby AI——一个原生集成AI功能的LaTeX编辑器。研究背景在于LLM已在文献综述、语言润色、评审反馈等环节展现价值，但现有工具需频繁切换上下文，损害写作连贯性与隐私安全。作者从零设计Bibby AI，其核心创新包括：基于AST的实时解析架构、八类深度嵌入的AI能力（如智能引文搜索、公式/表格生成、AI论文评审、摘要与综述自动生成、深度文献调研），以及首创的LaTeXBench-500基准（含500个真实LaTeX编译错误）。实验表明，Bibby在错误检测准确率（91.4%）和一键修复准确率（83.7%）上显著超越Overleaf和OpenAI Prism。该工作不仅推动AI-first科研工具范式，更通过零训练数据隐私设计、领域细调模型与结构化评估体系，为可信、高效、端到端的学术写作基础设施树立新标准。

## Abstract

Large language models are increasingly integrated into academic writing workflows; however, the most widely used \LaTeX\ editors remain AI-peripheral -- offering compilation and collaboration, but no native intelligence. This separation forces researchers to leave their editing environment for AI assistance, fragmenting document context and interrupting writing flow. We present Bibby AI (trybibby.com), a native, AI-first \LaTeX\ editor that unifies the complete research writing lifecycle within a single interface. Bibby embeds an AI writing assistant, smart citation search, AI table and equation generation, an AI paper reviewer, abstract generator, literature review drafting, a deep research assistant, and real-time \LaTeX\ error detection and auto-fix -- all natively, without plugins or copy-paste workflows. We introduce LaTeXBench-500, a benchmark of 500 real-world compilation errors across six categories. Bibby achieves 91.4\% detection accuracy and 83.7\% one-click fix accuracy, outperforming Overleaf's native diagnostics (61.2\%) and OpenAI Prism (78.3 / 64.1\%) by large margins. Bibby demonstrates that a privacy-preserving, research-first AI editor can meaningfully accelerate every stage of academic manuscript preparation. We found that Bibby AI is a far superior alternative to overleaf latex and better than OpenAI Prism functionalities and AI.