research-paper-writing

You can automate the research paper writing process end-to-end, from literature review and experiment execution to drafting and submission preparation. This workflow targets major AI conferences like NeurIPS, ICML, ICLR, and ACL, reducing manual errors and saving time.

Automating literature review and experiment analysis requires Python libraries including semanticscholar and arxiv for paper searches, habanero and requests for data retrieval, plus scipy, numpy, and matplotlib with SciencePlots for analyzing results and generating figures.

Yes, the workflow automates searching, verifying, and organizing related papers and citations using the arxiv and semanticscholar libraries. This ensures your literature review is comprehensive and your citations are accurate before drafting begins.

Start a new project using the init command with your paper title and author name. The workflow then manages the drafting phase by writing, reviewing, and revising the paper draft based on your experimental analysis and feedback.

No, the submission preparation phase handles formatting and anonymization automatically. It prepares your drafted paper specifically for conference submission guidelines, ensuring compliance for events like ACL without requiring manual formatting adjustments.

You need knowledge of research methodologies and conference submission guidelines to effectively utilize the workflow. It automates experiment execution and analysis using numpy and scipy, but understanding the underlying research design remains essential for valid results.