What problem does it solve?
Provides a comprehensive, field-ready framework that helps researchers draft publication-ready ML/AI papers from research repos, including narrative framing, structure templates, and citation workflows.
Core Features & Use Cases
- Narrative framework: define What/Why/So What to anchor the paper’s contribution.
- Abstract and structure guidance: 5-sentence abstract, introduction, methods, experiments, and related work templates.
- Reproducibility & ethics: checklists for data, code, compute, limitations, and broader impacts.
- Citation verification workflows: programmatic literature search, multi-source verification, and BibTeX retrieval with best-practice handling for placeholders.
- LaTeX templates & submission guidelines: conference-specific formatting guidance and best practices for rigorous writing.
Quick Start
Draft your ML/AI paper by applying the narrative framework to outline the contribution, fill in the abstract and introduction, and validate citations using the verification workflow.
Quick Start
Draft your ML paper start-to-finish using the narrative framework and citation workflow.
Quick Start
Draft your ML paper by applying the narrative framework and citation workflow.
Quick Start
Draft your ML paper by applying the narrative framework and citation workflow.