ml-paper-writing

Draft publication-ready ML papers by applying a narrative-driven What/Why/So What structure to guide drafting sections from abstract to references, enforcing reproducibility and formatting guidelines for major ML conferences like NeurIPS, ICML, ICLR, and ACL.

Structure your ML paper abstract using a 5-sentence template and follow a specific introduction structure to crystallize your main contribution, ensuring your narrative framework clearly articulates what the research is, why it matters, and so what impact it delivers.

Verify citations and manage BibTeX for ML papers through an integrated workflow that cross-references sources using Semantic Scholar, arXiv, and Crossref APIs via the habanero library, ensuring reference accuracy before conference submission.

Prepare camera-ready submissions and handle reviewer feedback for NeurIPS or ICML by using universal pre-submission checklists and converting iterative feedback into structured revisions, covering limits, ethics, broader impacts, and related work organization.

This workflow transforms existing research repositories into polished ML conference submissions, so you need to define your one-sentence contribution and draft the abstract as a starting point before iterating with feedback on your code base.