What problem does it solve?
The Research Paper Writing Pipeline provides an end-to-end framework to transform research ideas into publication-ready manuscripts by integrating experiment design, automated analysis, drafting, revision, and submission formatting across major ML/AI conferences. It streamlines workflow, ensures traceability, and reduces manual coordination overhead.
Core Features & Use Cases
- Phase-aligned workflow: from project setup through literature review, experiments, drafting, self-review, and submission prep.
- Automated citations and verification: programmatically fetch, verify, and embed BibTeX entries to maintain citation accuracy.
- Iterative writing guidance: supports structured drafting and revision cycles aligned with reviewer expectations (e.g., NeurIPS/ICML/ACL formats).
- Use Case: a lab designing a multi-paper project can reuse the pipeline to generate drafts, collect results, and prepare camera-ready materials with minimal context switching.
Quick Start
Kick off the pipeline on a new project, provide your research context, and let it guide you from experiment design through drafting, revision, and submission.