Review machine learning papers for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM. Use when asked to evaluate a submitted ML paper, score it, or prepare a structured peer review. For review tasks, use templates/review_template.tex.
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---
name: ml-paper-reviewer
description: Review machine learning papers for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM. Use when asked to evaluate a submitted ML paper, score it, or prepare a structured peer review. For review tasks, use templates/review_template.tex.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Academic Writing, Peer Review, NeurIPS, ICML, ICLR, ACL, AAAI, COLM, LaTeX]
dependencies: []
---
# ML Paper Review
Use this skill to write concise peer reviews for ML and AI submissions.
## Files
- `submission.tex` - paper to review
- `templates/review_template.tex` - review form and scoring rubric
## Workflow
1. Read `templates/review_template.tex` to load the required review sections and scoring format.
2. Read `submission.tex` to understand the paper's claims, methods, evidence, and limitations.
3. Write a review with:
- 2-3 sentence summary
- strengths
- weaknesses
- questions for authors
- numeric scores
- overall recommendation
- confidence
4. Base the written critique on the submitted paper and the review template.
## Review Criteria
Score each criterion on a 1-10 scale:
- Novelty / Originality
- Technical Quality
- Clarity / Presentation
- Significance / Impact
- Reproducibility
Use the overall score and recommendation fields from the template.
