What problem does it solve?
This Skill streamlines the process of writing high-quality, publication-ready Machine Learning and AI papers for top-tier conferences, ensuring adherence to academic standards and preventing critical errors like citation hallucination.
Core Features & Use Cases
- End-to-End Paper Drafting: Guides the AI through understanding research repositories, drafting sections, and iterating on feedback.
- Citation Verification: Enforces strict programmatic fetching of citations to prevent hallucinations.
- Conference Formatting: Provides access to LaTeX templates and checklists for major AI conferences (NeurIPS, ICML, ICLR, etc.).
- Use Case: A researcher has a new ML model and needs to write a paper for NeurIPS. They can use this Skill to help structure the paper, draft sections based on their code and results, find relevant related work, and ensure all citations are accurate and properly formatted.
Quick Start
Use the ml-paper-writing skill to draft an introduction for a paper based on the provided research repository.