ml-paper-writing

You can format a research paper for NeurIPS or ICML using provided LaTeX templates. The Skill supplies conference-specific formatting guidelines to ensure your document meets submission standards and handles anonymization correctly.

Verify citations in a machine learning paper by querying Semantic Scholar, Crossref, arXiv, and OpenAlex APIs. This integration cross-checks references against authoritative databases to prevent citation hallucinations and ensure metadata accuracy.

Yes, you can use this for structuring AI papers submitted to ACL or AAAI. It provides structured writing guidance tailored for major machine learning and AI conferences, helping you organize contributions and format documents correctly.

Yes, you need access to Semantic Scholar, Crossref, arXiv, and Openalex APIs to check references for academic writing. These external services are required to fetch metadata and verify that your citations exist and are accurate.

The best way to prevent citation hallucinations when writing ML papers is automated verification against academic databases. Running the provided extraction scripts cross-references your DOI entries to validate sources before submission.

Extract citations from a research paper using a DOI by running the `extract_citations.py` script. This tool parses your document, identifies references, and queries connected scholarly APIs to verify their existence and accuracy.