ml-paper-writing

To draft a machine learning paper from a research repository, this Skill automates end-to-end drafting by reading your code and experimental data to generate structured arguments and complete manuscripts. It transforms repository contents into polished, publication-ready text.

You verify citations programmatically by fetching and cross-referencing metadata using APIs like Semantic Scholar and CrossRef. This Skill integrates these APIs to check references against authoritative databases, ensuring academic integrity and preventing citation hallucinations automatically.

Yes, you can use LaTeX templates for specific conferences like NeurIPS, ICML, ICLR, ACL, OSDI, and SOSP. This Skill formats your generated manuscript directly according to the official LaTeX templates and reviewer guidelines of your target top-tier AI or Systems conference.

Yes, you need Python packages like arxiv, habanero, semanticscholar, and requests installed in your environment. These dependencies allow the Skill to fetch research papers, verify citations via CrossRef, and access academic APIs to automate your conference submission preparation.

The best way to structure arguments for an ICLR or AAAI submission is to let the Skill generate the logical flow from your research repository. It analyzes your experimental results to draft coherent introductions, methods, and results sections that align with top-tier conference reviewer expectations.