Academic Paper Review
Overview
Produces structured, peer-review-quality analyses of academic papers. Follows review standards used by top-tier venues (NeurIPS, ICML, ACL, Nature, IEEE) to provide rigorous, constructive, and balanced assessments.
Covers summary, strengths, weaknesses, methodology assessment, contribution evaluation, literature positioning, and actionable recommendations — all grounded in evidence from the paper itself.
When to Use
- User provides a paper URL (arXiv, DOI, conference proceedings)
- User asks to "review", "analyze", "critique", "assess", or "summarize" a research paper
- User wants to understand strengths and weaknesses of a study
- User requests a peer-review-style evaluation
Review Methodology
Phase 1: Paper Comprehension
Step 1.1: Identify Paper Metadata
Extract: Title, Authors, Venue/Status, Year, Domain, Paper Type (Empirical / Theoretical / Survey / Systems / Position).
Step 1.2: Deep Reading Pass
Read the paper systematically using browse_page:
- Abstract & Introduction — Identify claimed contributions and motivation
- Related Work — Note how authors position relative to prior art
- Methodology — Understand the proposed approach in detail
- Experiments / Results — Examine datasets, baselines, metrics, outcomes
- Discussion & Limitations — Note self-identified limitations
- Conclusion — Compare concluded claims against actual evidence
Step 1.3: Key Claims Extraction
List the paper's main claims explicitly:
Claim 1: [Specific claim] Evidence: [What evidence supports this] Strength: [Strong / Moderate / Weak]
Phase 2: Critical Analysis
Step 2.1: Literature Context Search
Use web_search to understand the research landscape:
"[paper topic] state of the art [current year]" "[key method name] comparison benchmark" "[specific technique] limitations criticism"
Use browse_page on key related papers or surveys.
Step 2.2: Methodology Assessment
| Criterion | Questions to Ask | Rating |
|---|---|---|
| Soundness | Is the approach technically correct? | 1-5 |
| Novelty | What is genuinely new vs incremental? | 1-5 |
| Reproducibility | Are details sufficient? Code/data available? | 1-5 |
| Experimental Design | Are baselines fair? Ablations adequate? | 1-5 |
| Statistical Rigor | Results significant? Error bars? Multiple runs? | 1-5 |
| Scalability | Does it scale? Computational costs discussed? | 1-5 |
Step 2.3: Contribution Significance
| Level | Description |
|---|---|
| Landmark | Fundamentally changes the field |
| Significant | Strong contribution advancing state of the art |
| Moderate | Useful contribution with some limitations |
| Marginal | Minimal advance over existing work |
| Below threshold | Does not meet publication standards |
Phase 3: Review Synthesis
Produce the final review using this template:
markdown# Paper Review: [Paper Title] ## Paper Metadata - **Authors**: [Author list] - **Venue**: [Publication venue or preprint server] - **Year**: [Year] - **Domain**: [Research field] - **Paper Type**: [Empirical / Theoretical / Survey / Systems / Position] ## Executive Summary [2-3 paragraph summary of core contribution, approach, and main findings. State overall assessment upfront.] ## Summary of Contributions 1. [First claimed contribution] 2. [Second claimed contribution] ## Strengths ### S1: [Concise strength title] [Detailed explanation with specific references to sections, figures, tables.] ### S2: [Concise strength title] [...] ## Weaknesses ### W1: [Concise weakness title] [Detailed explanation. Explain impact. Suggest how to address.] ### W2: [Concise weakness title] [...] ## Methodology Assessment | Criterion | Rating (1-5) | Assessment | |-----------|:---:|------------| | Soundness | X | [Brief justification] | | Novelty | X | [Brief justification] | | Reproducibility | X | [Brief justification] | | Experimental Design | X | [Brief justification] | | Statistical Rigor | X | [Brief justification] | | Scalability | X | [Brief justification] | ## Questions for the Authors 1. [Specific question] 2. [Question about methodology choices] ## Literature Positioning [How does this work relate to current state of the art? Key related works cited?] ## Recommendations **Overall Assessment**: [Accept / Weak Accept / Borderline / Weak Reject / Reject] **Confidence**: [High / Medium / Low] **Contribution Level**: [Landmark / Significant / Moderate / Marginal / Below threshold] ### Actionable Suggestions for Improvement 1. [Specific, constructive suggestion] 2. [Specific, constructive suggestion]
Review Principles
- Always suggest how to fix it — Don't just point out problems; propose solutions
- Give credit where due — Acknowledge genuine contributions even in flawed papers
- Be specific — Reference exact sections, equations, figures, tables
- Separate minor from major — Distinguish fatal flaws from fixable issues
Objectivity Standards
- ❌ "This paper is poorly written" (vague, unhelpful)
- ✅ "Section 3.2 introduces notation X without formal definition, making the proof in Theorem 1 difficult to follow. Consider adding a notation table." (specific, actionable)
Adaptation by Paper Type
| Paper Type | Focus Areas |
|---|---|
| Empirical | Experimental design, baselines, statistical significance, ablations |
| Theoretical | Proof correctness, assumption reasonableness, tightness of bounds |
| Survey | Comprehensiveness, taxonomy quality, coverage of recent work |
| Systems | Architecture decisions, scalability evidence, real-world deployment |
| Position | Argument coherence, evidence for claims, impact potential |
Common Pitfalls
- ❌ Reviewing the paper you wish was written instead of the paper submitted
- ❌ Demanding additional experiments that are unreasonable in scope
- ❌ Penalizing the paper for not solving a different problem
- ❌ Being overly influenced by writing quality versus technical contribution
- ❌ Providing only a summary without critical analysis
Quality Checklist
- Paper read completely (not just abstract and introduction)
- All major claims identified and evaluated against evidence
- At least 3 strengths and 3 weaknesses with specific references
- Methodology assessment table complete with ratings and justifications
- Literature search conducted to contextualize the contribution
- Recommendations are actionable and constructive
- Review tone is professional and respectful
Output
- Output the complete review in Markdown
- Save to
.poirot/outputs/review-{paper-topic}.mdviawrite_file - Present to user via
present_files


