How to Effectively Counter Reviewer Claims of Insufficient Novelty
The article outlines common reviewer criticism about lack of novelty, explains why generic responses fail, and provides a structured three‑point rebuttal framework—differences in motivation, implementation, and impact—to clearly demonstrate a paper’s unique contributions.
Problem
Reviewers often state “the paper’s method is similar to prior work A, therefore it lacks innovation.” This objection is frequent and decisive; an inadequate rebuttal can lead the reviewer to deem the submission unoriginal.
Undesirable response
Reviewer comment: “The paper’s method is similar to prior work A, therefore it lacks innovation.” Typical author reply: “Thank you for the constructive feedback. Our method differs from existing work, so it has some innovation.”
This reply is problematic because it only asserts a difference without explaining how, leaving the reviewer without concrete evidence.
What exactly does prior work A do?
What does the current paper do?
Where are the similarities?
What are the key differences?
Why do those differences constitute a genuine contribution?
Recommended response
Thank you for the constructive feedback. We would like to clarify that our work differs from method A in three main aspects: 1. Different motivation: Method A focuses on XXX , whereas our work addresses YYY . 2. Distinct implementation: Method A adopts XXX , while we design ZZZ . 3. Different impact: Method A is primarily used for AAA , whereas our approach serves BBB . We will add a clearer comparative discussion in the revised manuscript to avoid any misunderstanding of the relationship between our work and existing research.
Core principle
When facing the “insufficient novelty / similar to prior work” objection, explicitly outline:
What prior work does → What our paper does → Exactly how they differ.
Only by detailing these concrete differences can reviewers appreciate the added contribution.
One‑sentence takeaway
Do not merely claim “we have innovation”; clearly state what prior work does, what our paper does, and precisely where they diverge.
GitHub: https://github.com/MLNLP-World/Paper-Rebuttal-Tips
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