Research Paper Writing Pipeline - Setup Guide¶
Source: nousresearch/hermes-agent (396 installs) Originally from: master-cai/research-paper-writing-skills Category: Research / Academic License: MIT · Platforms: Linux, macOS, Windows Dependencies: Python 3.10+, LaTeX (optional)
End-to-end pipeline for producing publication-ready ML/AI research papers targeting top venues: NeurIPS, ICML, ICLR, ACL, AAAI, and COLM. Covers the full research lifecycle: experiment design, execution, monitoring, 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. The agent must handle these feedback loops.
What It Does¶
| Phase | Capability |
|---|---|
| Experiment design | Hypothesis formulation, ablation planning, baseline selection |
| Execution | Run experiments, track metrics, log results |
| Monitoring | Track training curves, detect anomalies, early stopping |
| Analysis | Statistical tests, visualization, significance reporting |
| Paper writing | Structured LaTeX/PDF output with venue-specific templates |
| Review response | Draft rebuttals, revise based on reviewer feedback |
| Submission | Format check, supplementary material, camera-ready prep |
Installation¶
Via skills.sh (Recommended)¶
npx skills add https://github.com/nousresearch/hermes-agent --skill research-paper-writing
Direct from Hermes Agent Repo¶
git clone --depth 1 https://github.com/nousresearch/hermes-agent.git /tmp/hermes-agent
cp -r /tmp/hermes-agent/skills/research/research-paper-writing ~/.hermes/skills/
Supported Venues¶
| Venue | Field | Template |
|---|---|---|
| NeurIPS | ML/AI | NeurIPS LaTeX style |
| ICML | Machine Learning | ICML LaTeX style |
| ICLR | Learning Representations | ICLR LaTeX style |
| ACL | Computational Linguistics | ACL LaTeX style |
| AAAI | Artificial Intelligence | AAAI LaTeX style |
| COLM | Language Modeling | COLM LaTeX style |
Prerequisites¶
| Requirement | Details |
|---|---|
| Hermes Agent | v0.20.0+ |
| Python | 3.10+ with numpy, scipy, matplotlib |
| LaTeX | texlive-full (recommended for PDF output) |
| GPU access | Optional - for experiment execution |
Verification¶
After install, test with:
Hermes, help me design an ablation study for a transformer-based model comparing attention mechanisms.
The agent should walk through hypothesis formulation, experimental design, and suggest a structured approach following the research pipeline.
Pitfalls¶
- Iterative, not linear: The pipeline loops. Don't expect a one-pass paper - expect rounds of experiment → analyze → revise.
- LaTeX dependency: PDF output requires a working LaTeX installation (
texliveormiktex). - Venue-specific formatting: Each venue has strict formatting requirements. Verify the template version before submission.
- Snyk warning: The skill carries a SnykWarn security audit. Review before use in sensitive research environments.
Installed via: npx skills add nousresearch/hermes-agent --skill research-paper-writing
Integration with CorpusIQ¶
CorpusIQ is the connector layer that lets AI assistants read the systems a business already runs on - accounting, payments, CRM, email, files and analytics - and answer with the source named. It is read-only by design: it retrieves data and never writes to, or acts in, a connected system, which is what makes it safe to point at live accounts.
This page is part of the CorpusIQ directory, the reference we maintain for the MCP server and agent-skill ecosystem. Run alongside CorpusIQ, a third-party server like this one can be combined with a company's own business data in a single answer.