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sgloria/research-paper-pipeline

Analysis updated 2026-05-18

80PythonAudience · researcherComplexity · 4/5Setup · moderate

TLDR

An AI pipeline that automates writing an academic research paper end to end, from idea generation through a submission-ready LaTeX draft.

Mindmap

mindmap
  root((paper pipeline))
    What it does
      Idea to draft
      Seven AI agents
      Resumable state
    Tech stack
      Python
      LaTeX
      Claude Code
    Use cases
      Draft a paper
      Simulate peer review
      Write a rebuttal
    Audience
      Researchers
      Grad students

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Turn a raw research idea into a full draft paper with related work, methods, and experiments

USE CASE 2

Get simulated peer reviews and a point-by-point rebuttal letter before real submission

USE CASE 3

Auto-generate SVG figures and a slide deck from a paper draft

USE CASE 4

Produce a NeurIPS, ICML, ICLR, or CVPR formatted LaTeX submission

What is it built with?

PythonLaTeXClaude Code

How does it compare?

sgloria/research-paper-pipelineingar30/reviewerclawdbrunner/captcha-solver
Stars808081
LanguagePythonPythonPython
Setup difficultymoderatemoderatemoderate
Complexity4/53/53/5
Audienceresearcherresearcherdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 1h+

Requires Python 3.9+ and a local LaTeX installation to compile PDFs.

License is not specified in the description.

In plain English

This is a skill plugin for Claude Code that automates the process of writing academic research papers from start to finish. It tackles the long and complex workflow involved in getting a paper accepted at a top computer science conference, breaking that process into seven coordinated AI agents that each handle a distinct phase. The pipeline begins with an Idea Agent that searches for trends in a research area, identifies gaps in existing work, generates candidate ideas, and checks whether they are genuinely new. A Literature Agent then retrieves and categorizes related papers from multiple sources, deduplicates them, and drafts a related work section with verified citations. A Method Agent designs the technical approach and produces pseudocode. An Experiment Agent plans datasets, evaluation metrics, ablation studies, and result tables. A Writing Agent assembles all sections into a complete draft. A Figures Agent scans the draft for placeholder markers and generates SVG diagrams, then collects them into a PowerPoint file. Finally, a Review Agent simulates multiple peer reviewers and produces a meta-review, and a Rebuttal Agent drafts a formal rebuttal letter responding to reviewer comments point by point. Progress is saved in a state file so work can be paused and resumed at any phase. The tool supports LaTeX output formatted for NeurIPS, ICML, ICLR, and CVPR conference templates, and includes scripts to convert Markdown to LaTeX and compile to PDF. You would use it if you are a researcher who wants AI assistance navigating the full arc from research idea to submission-ready paper. It runs on Python 3.9 or later and requires LaTeX to be installed.

Copy-paste prompts

Prompt 1
Help me set up SGloria's research-paper-pipeline and run the Idea Agent on my research topic
Prompt 2
Walk me through resuming a paused research-paper-pipeline run from its saved state file
Prompt 3
Show me how to configure research-paper-pipeline to output a NeurIPS-formatted LaTeX draft
Prompt 4
Explain how the Review Agent and Rebuttal Agent work together in this pipeline

Frequently asked questions

What is research-paper-pipeline?

An AI pipeline that automates writing an academic research paper end to end, from idea generation through a submission-ready LaTeX draft.

What language is research-paper-pipeline written in?

Mainly Python. The stack also includes Python, LaTeX, Claude Code.

What license does research-paper-pipeline use?

License is not specified in the description.

How hard is research-paper-pipeline to set up?

Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.

Who is research-paper-pipeline for?

Mainly researcher.

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