ml-paper-writing

Draft publication-ready ML papers by applying a structured narrative framework and conference-ready LaTeX templates directly to your research repository. This enforces reproducibility details and aligns claims with evidence for end-to-end manuscript preparation.

Yes, it provides LaTeX templates and conference guidelines for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM submissions. Templates include structure, checklists, and tooling to fit specific venue requirements.

Manage BibTeX citations using built-in verification workflows with programmatic retrieval and placeholder management. This prevents citation hallucinations by verifying references during the manuscript drafting process.

The best way to structure ML papers is using the What/Why/So What narrative framework. This approach aligns claims with evidence, streamlines reviewer guidelines, and ensures adherence to conference submission requirements.

Yes, you can automate drafting workflows while enforcing reproducibility details through built-in verification. The system exposes templates, reviewer guidance, and workflow automation to rapidly draft manuscripts.

If your paper structure misaligns with conference guidelines, apply the provided venue-specific templates and checklists. These enforce adherence to submission requirements and expose reviewer guidelines to correct structural issues.