research-paper-writing

To write a publication-ready ML research paper, this skill automates the end-to-end workflow from experiment design and statistical analysis to LaTeX drafting and iterative refinement. It provides conference-specific formatting rules for venues like NeurIPS, ICML, and ICLR.

The best way to format an academic paper for ICML or ACL submission is using this skill's tailored checklists and formatting rules. It automates LaTeX drafting and compilation specifically for major ML and AI conferences to ensure compliance.

Automating citation verification for academic writing requires access to citation APIs, which this skill integrates to manage references and verify bibliography accuracy. It cross-checks citations against source literature during the drafting pipeline.

Yes, you need Python libraries for data analysis and a LaTeX distribution for compilation to execute this research paper writing workflow. These dependencies are required to run experiment scripts, perform statistical analysis, and compile submission-ready drafts.

Iterative refinement improves an ML paper draft through the autoreason methodology, which applies structured critique and synthesis. This process systematically enhances experiment scripts, analysis, and text quality across multiple revision rounds.

Yes, you can use this skill with existing experimental results to design remaining experiments, execute statistical analysis, draft the complete paper with verified citations, and prepare figures for your target conference submission.