ml-paper-writing

You can generate publication-ready ML paper drafts directly from your research repository. The skill automates drafting paper sections, literature reviews, and experimental setups while ensuring verified citations.

Programmatic citation management prevents hallucinations by automatically fetching and verifying references. The skill uses APIs like Semantic Scholar and arXiv to ensure all citations in your ML papers are accurate and verifiable.

Formatting a machine learning paper for conference submission is streamlined using built-in LaTeX templates. The skill provides adherence guidelines and formatting for major conferences like NeurIPS, ICML, ICLR, and ACL.

Yes, citation verification works directly with arXiv and Semantic Scholar. The skill leverages these dependencies, alongside habanero and requests, to programmatically fetch and verify references for your academic writing.

You can receive expert-level guidance on narrative structure for AI conference papers. The skill provides structured writing guidance, philosophy, and highlights common pitfalls encountered during academic writing.

The LaTeX templates support top AI and ML conferences, including NeurIPS, ICML, ICLR, ACL, AAAI, and COLM. This ensures your paper adheres to the specific formatting guidelines required for each venue.