ml-paper-writing

To format a camera-ready ML paper, this Skill provides venue-specific LaTeX templates and submission checklists for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM. It guides reproducibility verification and section organization to ensure your draft meets conference requirements.

You can verify citations programmatically using the integrated Semantic Scholar, arXiv, and habanero dependencies. The Skill automates reference verification and provides BibTeX formatting guidance to ensure your academic writing maintains accurate, reproducible citations.

The best way to structure ML paper writing sections is by using the Skill's narrative framing templates and knowledge-base patterns. It extracts reusable writing structures from successful papers to guide your introduction framing and methods section organization.

Yes, you can draft an academic paper directly from research repos. The Skill supports drafting workflows that translate your code and experimental baselines into structured manuscript sections, enforcing rigorous baseline reporting and reproducibility checklists throughout the process.

Yes, this Skill enforces reproducibility checklists for AI conference submissions across major venues. It integrates verification workflows into the drafting process to ensure your experimental baselines and method descriptions meet strict reproducibility standards.