ml-paper-writing

Drafting a publication-ready ML research paper involves structuring arguments, verifying citations, and preparing camera-ready submissions using LaTeX templates and reviewer guidelines for top conferences like NeurIPS, ICML, and ICLR.

Preventing AI hallucination during citation verification requires programmatically fetching and cross-checking references using academic APIs like Semantic Scholar and arXiv, ensuring all cited literature in your ML paper is accurate and verifiable.

Yes, you can draft papers for ACL, AAAI, and COLM. The Skill provides expert guidance and LaTeX templates tailored for these specific top-tier AI and ML academic venues to help prepare camera-ready submissions.

The best way to structure a compelling narrative for an AI paper submission is through expert guidance on academic writing principles, helping you logically organize arguments and research results into a cohesive draft ready for peer review.

Providing a research repository with code and results is the expected starting point. The Skill uses your repository's contents to draft the ML paper, ensuring the generated text accurately reflects your experimental findings.