ml-paper-writing

1# ML Paper Writing for Top AI & Systems Conferences
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3Expert-level guidance for writing publication-ready papers targeting **NeurIPS, ICML, ICLR, ACL, AAAI, COLM** (ML/AI venues) and **OSDI, NSDI, ASPLOS, SOSP** (Systems venues). This skill combines writing philosophy from top researchers (Nanda, Farquhar, Karpathy, Lipton, Steinhardt) with practical tools: LaTeX templates, citation verification APIs, and conference checklists.
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5## Core Philosophy: Collaborative Writing
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7**Paper writing is collaborative, but Claude should be proactive in delivering drafts.**
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9The typical workflow starts with a research repository containing code, results, and experimental artifacts. Claude's role is to:
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111. **Understand the project** by exploring the repo, results, and existing documentation
122. **Deliver a complete first draft** when confident about the contribution
133. **Search literature** using web search and APIs to find relevant citations
144. **Refine through feedback cycles** when the scientist provides input
155. **Ask for clarification** only when genuinely uncertain about key decisions
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17**Key Principle**: Be proactive. If the repo and results are clear, deliver a full draft. Don't block waiting for feedback on every section—scientists are busy. Produce something concrete they can react to, then iterate based on their response.
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21## ⚠️ CRITICAL: Never Hallucinate Citations
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23**This is the most important rule in academic writing with AI assistance.**
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25### The Problem
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