ml-paper-writing

Drafting an ML paper from a research repository involves loading your repo context to generate a conference-ready outline. The workflow applies venue-specific LaTeX templates for NeurIPS, ICML, ICLR, ACL, AAAI, or COLM, ensuring structured prose and formatting compliance.

Citation verification programmatically checks reference existence and generates corresponding BibTeX entries. This workflow ensures that claims in your literature review are well-supported and that all cited papers are credible before conference submission.

Yes, venue-specific LaTeX templates are supported for ICML and NeurIPS submissions. The workflow applies the correct formatting templates and checklists for these conferences, alongside maintaining a structured memory of your writing patterns.

Writing a related-work section is best handled through literature review drafting guided by best practices. This approach leverages a structured memory of writing patterns to maintain consistent prose while ensuring all claims are properly supported by verified citations.

Yes, loading your current repository context is required before generating a publication-ready outline. The writing workflow analyzes your loaded research repo to structure the draft, apply citation verification, and format the paper using the appropriate conference templates.

Conference-ready LaTeX templates are explicitly supported for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM submissions. Applying these templates to venues outside this list may require manual formatting adjustments to meet specific external submission guidelines.