ml-paper-writing

To write an ML research paper for top conferences, structure your arguments, generate first drafts from your research repository, and apply specific LaTeX templates. This ensures adherence to academic standards and proper formatting for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM.

To prevent citation hallucinations in academic papers, enforce strict rules against generating fake references. Programmatically verify citations and retrieve BibTeX entries using APIs like Semantic Scholar, arxiv, and Habanero to ensure all literature references are legitimate.

Yes, you can draft a paper directly from your code repository. The workflow supports starting with research repositories to understand your new ML model, generate initial drafts of sections like the introduction, and iteratively refine the content with scientists.

The best way to format a machine learning paper for ICLR is utilizing specific LaTeX templates. This approach provides structural guidance for conference submissions, ensuring your document meets the exact formatting requirements of ICLR and other top-tier AI conferences.

No, you do not need to manually verify BibTeX files for your conference submission. The process programmatically verifies citations and retrieves BibTeX entries using Semantic Scholar, arxiv, and Habanero APIs, preventing hallucinated references and ensuring accurate academic metadata.