ml-paper-writing

To draft a machine learning paper, provide the skill with your research repository files. It generates a complete, conference-ready manuscript by analyzing your code, extracting contributions, and formatting the text using LaTeX templates for venues like NeurIPS or ICML.

Yes, you can retrieve and verify BibTeX citations automatically. The skill queries Semantic Scholar and arXiv APIs to find relevant literature, fetches BibTeX entries programmatically, and marks any uncertain references for your manual review.

Generating a conference-ready manuscript requires a local LaTeX toolchain to compile the manuscript. You must provide access to your project files and have an internet connection available for the API queries needed during literature search.

To format a research paper for NeurIPS or ICLR submission, the skill inserts the appropriate conference LaTeX templates. It automatically applies required formatting rules and generates the necessary submission checklists to ensure venue compliance.

The best way to handle literature search for an AI conference paper is using automated API queries. The skill searches Semantic Scholar and arXiv to find relevant papers, verifies citations programmatically, and stores writing patterns in a knowledge base for future reuse.

If citation retrieval returns uncertain references for your ML paper, the skill explicitly marks those BibTeX entries as uncertain. You should manually verify these flagged citations against the original sources before finalizing your manuscript submission.