sources

# 来源书目 本文档列出了构建此技能所使用的所有权威来源，按主题组织。 --- ## 写作理念与指南 ### 主要来源（必读） | 来源 | 作者 | URL | 关键贡献 | |--------|--------|-----|------------------| | **Highly Opinionated Advice on How to Write ML Papers** | Neel Nanda | [Alignment Forum](https://www.alignmentforum.org/posts/eJGptPbbFPZGLpjsp/highly-opinionated-advice-on-how-to-write-ml-papers) | 叙事框架，“What/Why/So What”，时间分配 | | **How to Write ML Papers** | Sebastian Farquhar (DeepMind) | [Blog](https://sebastianfarquhar.com/on-research/2024/11/04/how_to_write_ml_papers/) | 5 句摘要公式，结构模板 | | **A Survival Guide to a PhD** | Andrej Karpathy | [Blog](http://karpathy.github.io/2016/09/07/phd/) | 论文结构配方，贡献框架 | | **Heuristics for Scientific Writing** | Zachary Lipton (CMU) | [Blog](https://www.approximatelycorrect.com/2018/01/29/heuristics-technical-scientific-writing-machine-learning-perspective/) | 用词选择，章节平衡，强调词警告 | | **Advice for Authors** | Jacob Steinhardt (UC Berkeley) | [Blog](https://jsteinhardt.stat.berkeley.edu/blog/advice-for-authors) | 精确胜于简洁，术语一致性 | | **Easy Paper Writing Tips** | Ethan Perez (Anthropic) | [Blog](https://ethanperez.net/easy-paper-writing-tips/) | 微观技巧，撇号展开，清晰度技巧 | ### 基础科学写作 | 来源 | 作者 | URL | 关键贡献 | |--------|--------|-----|------------------| | **The Science of Scientific Writing** | Gopen & Swan | [PDF](https://cseweb.ucsd.edu/~swanson/papers/science-of-writing.pdf) | 主题/压力位置，旧信息在前，7 项原则 | | **Summary of Science of Scientific Writing** | Lawrence Crowl | [Summary](https://www.crowl.org/Lawrence/writing/GopenSwan90.html) | Gopen & Swan 的精简版 | ### 额外资源 | 来源 | URL | 关键贡献 | |--------|-----|------------------| | How To Write A Research Paper In ML | [Blog](https://grigorisg9gr.github.io/machine%20learning/research%20paper/how-to-write-a-research-paper-in-machine-learning/) | 实践演练，LaTeX 技巧 | | A Recipe for Training Neural Networks | [Karpathy Blog](http://karpathy.github.io/2019/04/25/recipe/) | 可转化为论文结构的调试方法论 | | ICML Paper Writing Best Practices | [ICML](https://icml.cc/) | 会议最佳实践 |