ml-paper-writing

To format an ML paper for conference submission, this Skill provides structured LaTeX templates and paper checklists tailored for major conferences like NeurIPS, ICML, ICLR, and ACL. It guides you through formatting requirements to ensure your submission is publication-ready.

Yes, you can automatically verify citations for your AI research paper using the Semantic Scholar API. This Skill checks the accuracy of your references through a combination of AI and manual verification processes to prevent citation errors before submission.

Yes, you need Python and Semantic Scholar API access to use this paper writing guidance. These dependencies are required to run the citation verification scripts and access the structured templates and checklists for conferences like AAAI and COLM.

The best way to structure an AI paper for publication is by following writing principles synthesized from leading ML researchers. This Skill offers expert-level guidance, providing structured templates and paper checklists to help you draft and organize high-quality research papers.

To generate a LaTeX template for a specific ML conference, use this Skill to specify your target venue and research topic. It will output a structured template matching the formatting requirements of conferences like ICML or ICLR, ready for your content.

Automated citation verification for ML paper writing relies on the Semantic Scholar API, meaning accuracy depends on the database's coverage. While it prevents common reference errors, you should still perform manual checks to ensure citations perfectly match conference submission standards.