research-paper-writing

Research Paper Writing Pipeline

Overview

End-to-end pipeline for producing publication-ready ML/AI research papers targeting NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Covers the full research lifecycle: experiment design, execution, analysis, paper writing, review, revision, and submission.

This is not a linear pipeline — it is an iterative loop. Results trigger new experiments. Reviews trigger new analysis.

When to Use

• User is writing an ML/AI research paper for a top venue
• User needs help with experiment design, execution, or analysis
• User wants feedback on a draft
• User is preparing a submission package

Pipeline Phases

Phase 0: Project Setup → Phase 1: Literature Review
       │                        │
       ▼                        ▼
Phase 2: Experiment      Phase 5: Paper Drafting ◄──┐
       Design                  │                    │
       │                       ▼                    │
       ▼                 Phase 6: Self-Review       │
Phase 3: Execution            & Revision ───────────┘
       & Monitoring              │
       │                         ▼
       ▼                   Phase 7: Submission
Phase 4: Analysis

Phase 0: Project Setup

• Define research question and hypothesis
• Identify target venue + deadline
• Set up project structure:

  project/
  ├── experiments/
  ├── data/
  ├── src/
  ├── paper/
  │   ├── main.tex
  │   ├── figures/
  │   └── references.bib
  └── README.md
  

• Initialize git repo, set up environment

Phase 1: Literature Review

• Use arxiv skill to find related work
• Use web_search for non-arXiv papers (Semantic Scholar, Google Scholar)
• Use browse_page to read key papers in full
• Build a references.bib with all cited works
• Identify the gap your work fills

Phase 2: Experiment Design

• Define baselines and comparison methods
• Choose datasets and evaluation metrics
• Design ablation studies
• Plan computational budget
• Write pre-registration document (optional but recommended)