ml-paper-writing

To write a publication-ready ML paper for NeurIPS or ICML, you need structured argument drafting, LaTeX template integration, and conference-specific writing philosophy guidance. This skill provides workflows that generate drafts directly from your research repository while adhering to top AI conference standards.

To prevent citation hallucination in machine learning research papers, you must programmatically verify references. This skill fetches accurate BibTeX entries using the Semantic Scholar and arXiv APIs, ensuring all citations in your academic writing are real and correctly formatted.

Yes, you can draft introductions and other sections for ICLR or ACL submissions. The skill supports generating publication-ready text for multiple top AI conferences, including ICLR, ACL, AAAI, and COLM, by applying structured argument workflows.

The best way to integrate LaTeX templates with your research workflow is to use guided integration tools. This skill helps you properly apply LaTeX templates for various AI conferences while structuring your arguments and verifying citations directly from your research repository.

Yes, having a research repository is necessary. The skill's workflow is designed to understand your existing research repository to structure arguments and draft the paper, ensuring the generated text accurately reflects your actual experimental work and findings.

Citation verification matters for machine learning paper writing because inaccurate references can lead to desk rejects or damaged credibility. The skill uses Semantic Scholar and arXiv APIs to programmatically fetch BibTeX entries, eliminating the risk of citing non-existent or misattributed papers.