BZJZ_Material/文档润色流和知识库构建流/claude-scholar/skills/ml-paper-writing/references/knowledge/review-response.md

Review Response and Rebuttal Strategies

This file contains effective strategies for responding to reviewer comments and addressing reviewer concerns, extracted from successful ML conference paper rebuttals.

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General Rebuttal Principles

Core Philosophy

Source: Analysis of successful NeurIPS/ICML rebuttals

Key Principles:

1. Respectful tone: Thank reviewers for their time
2. Direct addressing: Respond point-by-point to each concern
3. Evidence-based: Support claims with data, experiments, or citations
4. Concise communication: Be clear but brief
5. No over-committing: Only promise what can be done

Response Structure

Template:

# Response to Reviewer [Number]

Thank you for this insightful comment. We [address the concern].

[Specific response to concern].

[Additional evidence/experiments if needed].

We have revised the manuscript to clarify this point (see changes marked in blue).

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Addressing Specific Concerns

Concern: Clarity Issues

Strategy:

• Acknowledge the confusion
• Clarify with revised text
• Add examples if helpful

Template:

# Response to Clarity Concern

We apologize for the confusion. The original text was:

[Original unclear text]

We have revised this to:
"Revised text with clearer explanation"

We also added an example (Figure X) to illustrate this concept.

Real Example:

• Concern: "The algorithm description is unclear."
• Response: "We've rewritten Algorithm 1 with more detailed steps and added pseudocode. We also included a concrete example in Appendix B to illustrate the algorithm's execution."

Concern: Missing Experiments

Strategy:

• Assess whether experiment is feasible
• If yes: add experiment and report results
• If not: explain why experiment is not essential
• Offer alternative evidence if possible

Template:

# Response to Missing Experiment Request

We agree that [experiment] would strengthen the evaluation. We have:
[Option 1: Added experiment and results]
OR
[Option 2: Explained why not essential with alternative evidence]

We believe this addresses the concern while maintaining focus on our core contribution.

Real Example:

• Concern: "Add comparison with Method X on dataset Y."
• Response: "We've added results on dataset Y (Table 3). Our method outperforms Method X by 5%. We also include ablation showing our improvement comes from [feature], not just better optimization."

Concern: Statistical Significance

Strategy:

• Add statistical tests if appropriate
• Report confidence intervals
• Discuss practical significance vs statistical significance
• Note sample size limitations

Template:

# Response to Statistical Significance

We agree statistical testing is important. We have:
- Added paired t-test results showing significance (p<0.01)
- Included 95% confidence intervals in Figure 3
- Reported standard deviations across 5 runs
- Noted that while some differences are not statistically significant due to sample size, they are practically meaningful for [application]

We have updated Section 4.2 with these statistical details.

Concern: Insufficient Baselines

Strategy:

• Add missing baselines if available
• Explain why certain baselines are inappropriate
• Cite reasons for exclusions with references

Template:

# Response to Baseline Concern

We have added comparisons with:
- [Method A]: Added in Table 2
- [Method B]: Excluded because [reason with citation]

For Method B, while it seems related, it [specific reason why not comparable], making direct comparison inappropriate.

Concern: Writing Quality

Strategy:

• Revise problematic text
• Fix grammatical issues
• Improve flow and clarity
• Add signposting

Template:

# Response to Writing Concern

We've revised the writing to address your concerns:
- Restructured Section 3 for better flow
- Fixed typos and grammar
- Added transition sentences between paragraphs
- Clarified technical terminology

The revised manuscript has been proofread and edited for clarity.

Concern: Overclaiming

Strategy:

• Tone down absolute statements
• Add qualifications where appropriate
• Acknowledge limitations more explicitly
• Reframe claims to match evidence

Template:

# Response to Overclaiming Concern

We accept that our original claim was too strong. We have revised the text:

Original: "Our method achieves state-of-the-art on all tasks."
Revised: "Our method achieves state-of-the-art on [specific tasks] and competitive performance on [other tasks]."

We also added a Limitations section acknowledging that our method may not generalize to [condition].

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Tone and Phrasing Patterns

Opening Statements

Thanking:

• "Thank you for this insightful comment."
• "We appreciate the reviewer's suggestion to..."
• "We thank the reviewer for pointing this out."

Acknowledging Valid Points:

• "The reviewer is right that..."
• "We agree this is a limitation."
• "This is an excellent suggestion."

Addressing Disagreements

Respectful Disagreement:

• "We respectfully disagree with this assessment based on..."
• "While we understand the concern, our results suggest..."
• "We believe our approach is justified because..."

Providing Evidence:

• "Our experimental results (Table 3) show..."
• "As shown in Figure 4, the difference is..."
• "This is supported by prior work [Citation]."

Making Commitments

Full Commitments:

• "We will add this experiment in the revised version."
• "We have added additional ablation studies in Section 5."

Partial Commitments:

• "We have added clarification in the appendix due to space constraints."
• "We've expanded discussion of this point in the revision."

Declining Requests:

• "Unfortunately, due to [constraint], we cannot add this experiment."
• "This would require substantial additional resources beyond our current scope."
• "We believe this is beyond the scope of the current paper but note it as future work."

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Common Rebuttal Strategies

Strategy: Organized Response

Structure:

# Summary of Changes

We thank the reviewers for their constructive feedback. In this response, we:
- [Major change 1]
- [Major change 2]
- [Improvement 3]

We believe these changes have significantly strengthened the paper.

# Response to Reviewer 1

[Point-by-point responses]

# Response to Reviewer 2

[Point-by-point responses]

Strategy: Evidence-Based Arguments

Template:

# Response to Technical Concern

Our approach is valid because:
1. [Reason 1 with reference/evidence]
2. [Reason 2 with data/figure]
3. [Reason 3 with theoretical justification]

This is supported by [Citation], which demonstrates that [fact].

Strategy: Highlighting Improvements

Template:

# Major Revisions

1. **New Experiments**: Added comparison with [method] on [dataset]
2. **New Analysis**: Included ablation study in Table 4
3. **Clarified Writing**: Rewrote Section 3 for clarity
4. **Added Limitations**: New section 5.2 acknowledging constraints

These additions strengthen our core claims about [contribution].

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Venue-Specific Considerations

NeurIPS

Emphasis:

• Novelty and conceptual contribution
• Broader impact (lay summary)
• Reproducibility checklist

Rebuttal Focus:

• How work advances understanding
• Significance of contribution
• Ethical considerations

ICML

Emphasis:

• Methodological rigor
• Theoretical contributions
• Broader impact statement

Rebuttal Focus:

• Soundness of methods
• Theoretical guarantees
• Practical implications

ICLR

Emphasis:

• Experimental thoroughness
• Limitations acknowledgment
• LLM usage disclosure

Rebuttal Focus:

• Comprehensive evaluation
• Honest limitation discussion
• Transparency about methods

ACL

Emphasis:

• Linguistic appropriateness
• Ethical considerations
• Clear limitations

Rebuttal Focus:

• Language quality and appropriateness
• Data provenance and ethics
• Practical utility

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Tips for Successful Rebuttals

Before Writing

1. Understand the concerns: Read carefully, identify key issues
2. Prioritize: Address major concerns first
3. Be realistic: Only promise what can deliver
4. Gather evidence: Collect data, results, citations
5. Coordinate: Discuss with co-authors if applicable

While Writing

1. Be specific: Reference exact sections, figures, tables
2. Be concise: Keep responses focused and brief
3. Be respectful: Thank reviewers, acknowledge good points
4. Be confident: Defend your work appropriately
5. Be honest: Acknowledge limitations, don't overpromise

Common Mistakes to Avoid

• Defensive tone: Don't argue excessively
• Vague responses: Be specific about changes
• Ignoring concerns: Address every point
• Over-promising: Only commit to feasible additions
• Disorganized:
• Poor formatting: Use clear sections and structure
• Rude language: Maintain professional tone

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Rebuttal Examples

Example 1: Clarity Concern

Reviewer: "The method description in Section 3 is unclear and hard to follow."

Response:

We apologize for the confusion. We have rewritten Section 3.2 to clarify our algorithm:

**Original:** "We process the data using our method and get results."

**Revised:** "Our method consists of three stages: (1) We first normalize the input
features using [technique]. (2) We then apply our core algorithm, which iteratively [process].
(3) Finally, we post-process the outputs using [method]."

We also added Algorithm 1 with detailed steps and included a concrete example in
Appendix A. We believe this revision makes the method reproducible and clear.

Example 2: Missing Baseline

Reviewer: "You should compare with Method X (Smith et al., 2022)."

Response:

Thank you for this suggestion. We have added comparisons with Method X in our
revised manuscript:

**Results in Table 3:** Our method achieves 92% accuracy compared to Method X's
85% on dataset Y. This 7% improvement demonstrates the value of our [key innovation].

**Ablation Study:** We show in Table 4 that our improvement comes specifically from
[feature], not just better optimization.

We chose not to include Method Z because [reason with citation].

Example 3: Overclaiming

Reviewer: "The abstract claims 'state-of-the-art' too broadly."

Response:

We accept this critique. Our original claim was too broad. We have revised the
abstract:

**Original:** "Our method achieves state-of-the-art performance across all tasks."

**Revised:** "Our method achieves state-of-the-art on [specific tasks A and B] (Table 1)
and competitive performance on [other tasks C and D] (Table 2)."

We also added a Limitations section (Section 5) noting that performance may vary
across domains and tasks.

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Final Checklist

Before submitting rebuttal:

• All reviewer concerns addressed
• Responses are clear and specific
• Tone is respectful and professional
• Changes are marked in manuscript
• Evidence provided for claims
• Feasible commitments made
• Co-authors agree with responses
• Proofread for errors
• Check formatting requirements

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Notes

• Learn from successful rebuttals: Read well-received papers' reviewer exchanges
• Practice humility: Acknowledge mistakes, show willingness to improve
• Focus on core contribution: Defend your main contribution without overclaiming
• Keep it concise: Reviewers are busy; be respectful of their time

Updates: This file is periodically updated with new strategies and examples from successful rebuttals.