research-paper-writing

To write and submit a research paper for NeurIPS or ICML, you need an end-to-end pipeline covering experiment design, data analysis, drafting, and review. This Skill provides that full research lifecycle, including iterative feedback loops for revision.

Yes, you can use Python scripts for ML experiment design and paper drafting. This Skill requires Python for script execution and leverages libraries like numpy, scipy, and matplotlib to handle data processing, analysis, and publication-ready figure generation.

The best way to manage iterative feedback and collaboration on an AI research paper is using built-in collaboration tools and iterative revision cycles. This Skill facilitates clear guidelines for multi-author projects and supports feedback loops based on experiments and reviews.

Yes, this research pipeline works with arxiv and Semantic Scholar for literature reviews. It utilizes semanticscholar and arxiv dependencies to fetch relevant AI and ML literature, supporting the comprehensive drafting process for conferences like ACL and ICLR.

Yes, you need habanero and SciencePlots to generate publication-ready figures for AAAI or COLM. These dependencies facilitate citation retrieval and professional plot styling, ensuring your research outputs meet high academic formatting standards.