ml-paper-writing

To draft a machine learning paper from a research repository, the Skill analyzes your codebase and experimental notes to build a full publication-ready manuscript narrative around your core contribution. It structures the text to be reviewer-aware and aligned with conference formatting rules.

Yes, you can format your ML paper draft for specific conferences. The Skill provides venue adaptation for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM by adjusting the manuscript structure and formatting to meet the exact requirements of your target venue.

Citation verification works by programmatically checking references to prevent hallucinated citations during the paper writing process. The Skill ensures citation safety by requiring verified references, reducing the risk of including incorrect or fabricated literature in your manuscript.

Generating a publication-ready ML paper includes drafting abstracts, introductions, methods, experiments, related work, and limitations sections. The Skill also supports camera-ready edits, resubmission workflows, reproducibility details, and checklist compliance for a complete manuscript.

Yes, you need a research repository and experimental notes to start writing an AI research paper. The Skill requires these inputs to construct a coherent manuscript narrative, extract reproducibility details, and frame your methodology accurately for the target conference submission.

Limitations when adapting a research draft for conference formatting include the strict requirement for verified citations and reproducibility details. The Skill focuses on a single strong contribution and may not suit multi-focus manuscripts or repositories lacking clear experimental data.