This repository provides a comprehensive handbook for beginners aiming to write AI conference papers. It offers practical guidance on structuring, writing, and refining research manuscripts to increase the chances of acceptance and effectively communicate findings to the academic community.

How It Works

The handbook breaks down the paper-writing process into two main parts: completing a paper from scratch and refining its details. It emphasizes identifying a core idea (insight, performance, or capability), constructing a logical framework (abstract, introduction, main body), and writing a compelling introduction using a structured approach (establish territory, find niche, occupy niche). The guide also details how to write the related work section effectively and offers techniques to improve readability by enhancing logical strength, defensibility, reducing confusion time, and increasing information density.

Quick Start & Requirements

• No installation or execution required; this is a documentation resource.
• Access to the content is via the GitHub repository.
• Links to related resources, AI conference deadlines, and acceptance rates are provided within the README.

Highlighted Details

• Detailed advice on identifying the core novelty of research.
• Structured guidance on writing introductions based on established academic frameworks.
• Practical techniques for improving paper readability, including logical strength and information density.
• Comprehensive sections on common negative review comments and advice for handling paper rejection.

Maintenance & Community

• The project is authored by hzwer and DingXiaoH.
• It encourages community contributions and suggestions for improvement.
• Links to related Chinese resources (Zhihu, Yuyue, Doubao) are included.

Licensing & Compatibility

• The repository content is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).
• This license permits non-commercial use, sharing, and adaptation, provided attribution is given and similar licensing terms are maintained. Commercial use or integration into closed-source projects may require separate licensing.

Limitations & Caveats

The authors acknowledge that the manuscript has not undergone peer review and may contain imperfections. While AI writing assistants are recommended for basic English issues, the core advice focuses on aspects not easily automated, such as logical coherence and defensibility.