OverleafCopilot: Empowering Academic Writing in Overleaf with Large
  Language Models
Haomin Wen Zhenjie Wei Yan Lin Jiyuan Wang Yuxuan Liang Huaiyu Wan
The rapid development of Large Language Models (LLMs) has facilitated a
variety of applications from different domains. In this technical report, we
explore the integration of LLMs and the popular academic writing tool,
Overleaf, to enhance the efficiency and quality of academic writing. To achieve
the above goal, there are three challenges: i) including seamless interaction
between Overleaf and LLMs, ii) establishing reliable communication with the LLM
provider, and iii) ensuring user privacy. To address these challenges, we
present OverleafCopilot, the first-ever tool (i.e., a browser extension) that
seamlessly integrates LLMs and Overleaf, enabling researchers to leverage the
power of LLMs while writing papers. Specifically, we first propose an effective
framework to bridge LLMs and Overleaf. Then, we developed PromptGenius, a
website for researchers to easily find and share high-quality up-to-date
prompts. Thirdly, we propose an agent command system to help researchers
quickly build their customizable agents. OverleafCopilot
(https://chromewebstore.google.com/detail/overleaf-copilot/eoadabdpninlhkkbhngoddfjianhlghb
) has been on the Chrome Extension Store, which now serves thousands of
researchers. Additionally, the code of PromptGenius is released at
https://github.com/wenhaomin/ChatGPT-PromptGenius. We believe our work has the
potential to revolutionize academic writing practices, empowering researchers
to produce higher-quality papers in less time.