ml-paper-writing

This skill writes publication-ready ML papers from research repositories by applying conference-specific templates and guiding narrative structure for NeurIPS, ICML, ICLR, ACL, and AAAI submissions.

Automate BibTeX retrieval and prevent citation hallucinations using the built-in citation workflow, which programmatically fetches references via Semantic Scholar and arXiv, validates entries, and handles placeholders to ensure accuracy.

Yes, this tool supports reproducibility by providing standardized checklists, data documentation templates, and built-in ethics recommendations to meet rigorous conference peer-review requirements.

The best way to format an ML manuscript for ICLR or ACL is using conference-specific templates that enforce the What/Why/SoWhat narrative and checklist-driven polishing to ensure alignment with peer-review standards.

Yes, you can verify references using Semantic Scholar and arXiv, as the skill integrates these dependencies to programmatically retrieve BibTeX entries and validate citations against source literature.

Automated templates enforce standardized narrative structure and checklists but require your underlying research repository to be well-organized, as they guide formatting and citation workflows rather than generating novel scientific results.