research-paper-writing

Solid

End-to-end pipeline for writing ML/AI research papers — from experiment design through analysis, drafting, revision, and submission. Covers NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Integrates automated experiment monitoring, statistical analysis, iterative writing, and citation verification.

AI & Automation 173,893 stars 29465 forks Updated today MIT

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Quality Score: 96/100

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100
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100
Frontmatter 20%
70
Documentation 15%
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Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Research Paper Writing Pipeline End-to-end pipeline for producing publication-ready ML/AI research papers targeting **NeurIPS, ICML, ICLR, ACL, AAAI, and COLM**. This skill 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. ``` ┌─────────────────────────────────────────────────────────────┐ │ RESEARCH PAPER PIPELINE │ │ │ │ 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 ─────► (feeds back to Phase 2 or 5) │ │ ...

Details

Author
NousResearch
Repository
NousResearch/hermes-agent
Created
10 months ago
Last Updated
today
Language
Python
License
MIT

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