Reviewer Response Template: Generate a Response Letter Online

Acadwrite Team · Updated August 4, 2026

The core of a journal revision is the response letter: answer every comment from every reviewer and make every change easy to locate in the revised manuscript. This guide provides a reusable structure and templates organized by comment type, with particular attention to requests for newer comparisons, doubts about novelty, and missing literature support—issues that require real reading rather than polished phrasing.

A conference rebuttal follows a different strategy, with strict time and word limits and the goal of changing scores. See how to write a conference-paper rebuttal.

Start with the reviewer comments

Paste reviewer comments and continue in the workspace

The workspace analyzes each comment, drafts a point-by-point response, and proposes manuscript revisions with locations.

1. The Three-Part Revision Package

A major- or minor-revision submission usually has three indispensable parts:

① Letter to the Editor (Cover Letter)

Briefly thank the editor, state that you completed the revisions, summarize the main categories of change, and identify the attached response letter and revised manuscript. Give an overview rather than itemized responses.

② Point-by-Point Response

This is the core document. Reproduce every comment from each reviewer and answer them one by one without omissions. Reviewers focus on it during the next round.

③ Marked Revised Manuscript

Use highlighting or tracked changes so reviewers can locate edits quickly. Every change cited in the response letter should map to a specific section and page here.

2. A Four-Part Response to Every Comment

Use the same four-part structure for each item so reviewers can immediately see how it was handled:

  1. 1.Quote the reviewer's comment verbatimand number it R1-1, R1-2, and so on, so reviewers do not have to search the previous report.
  2. 2.Thank the reviewer and state your position. Agree explicitly when you agree. If you disagree, explain politely and frame the issue as insufficient explanation rather than reviewer misunderstanding.
  3. 3.Describe the exact change. State whether you added a comparison, ran an experiment, or rewrote a passage; do not say only that it was revised.
  4. 4.Quote and locate the revised text. Include the new sentence and its section and page so the reviewer can verify it.
Major Revision

The editor sees publication potential but substantial problems, often involving methods, experiments, or the central contribution. Responses must be detailed, and substantive literature or method issues must be solved rather than cosmetically rephrased.

Minor Revision

Comments usually concern writing, format, or local clarification. Address each one cleanly and concisely; new experiments are less commonly required.

3. Five Comment Types and Their Responses

Different comment types require different actions. Literature and evidentiary-support comments often take the longest because no template can supply the answer—you must read recent work.

Comment typeTypical wordingCan literature search resolve it?
LiteratureA missing citation, a requested comparison with recent methods, doubtful novelty, or incomplete related workDirectly
Evidentiary supportAn overstrong or unsupported conclusion, or a claim that needs literature or dataOften, by finding support
Method or experimentMissing baseline, weak statistics, or incomplete experimental settingsSupporting role; new experiments are central
Writing and presentationLanguage, figure clarity, or organizationNo; edit the writing
Format and policyReference style, template, word count, or submission rulesNo

4. Answer Literature Comments with Substantive Searches

“Novelty is limited,” “compare with recent work,” “related work is incomplete,” or “why did you not cite X?” are difficult because wording templates cannot answer them. You must find recent studies, understand what they did, and explain precisely how your contribution differs.

Put the Reviewer's Exact Comment into the Workspace

Acadwrite Workspace can find real papers, extract their methods and data, compare them, and clarify your innovation, then turn that evidence into a cited point-by-point response. It handles the time-consuming work of identifying the right papers, reading them, and finding the difference, leaving you to decide what is genuinely new in your contribution.

Realistic Example: “Novelty Is Limited; Please Add Comparisons”

Suppose a medical-informatics manuscript proposes a RAG method for Chinese clinical QA with a post-retrieval fact-verification layer to reduce hallucinations and receives this major-revision comment:

Reviewer 2. The manuscript applies retrieval-augmented generation to medical QA to reduce hallucination. This direction has been widely explored and the novelty is limited. The related work omits recent medical RAG systems, and there is no comparison against them. Please clarify the contribution.
Step 1 · Find Representative Medical RAG Work from the Past Two Years
  • MedRAG / MIRAGE(Xiong et al., ACL 2024 Findings) introduced the 7,663-question MIRAGE benchmark across five medical QA datasets and the MedRAG toolkit. It reported gains of up to 18% over chain-of-thought prompting across six LLMs and identified a lost-in-the-middle effect in medical RAG.
  • RAG²(Sohn et al., NAACL 2025) filters distracting snippets with a perplexity-trained model and uses LLM-generated rationales as retrieval queries, improving over prior medical RAG systems by up to 5.6%.
Step 2 · Extract Evidence and Identify the Difference

MedRAG studies combinations and scaling across corpora, retrievers, and models; RAG² filters distracting retrieved snippets. This paper differs through Chinese clinical QA plus a post-retrieval fact-verification layer—a layer neither known route provides.

Step 3 · Turn It into a Point-by-Point Response
We thank the reviewer. We agree that medical RAG has advanced rapidly. We have revised Related Work (Sec. 2.2) to discuss MedRAG (Xiong et al., 2024), which benchmarks corpus-retriever-LLM combinations on the MIRAGE benchmark, and RAG2 (Sohn et al., 2025), which filters distracting snippets via a perplexity-trained model. Unlike these, our contribution targets Chinese clinical QA and introduces a post-retrieval fact-verification layer; we now report a direct comparison against both in Table N (Sec. 4.3).

This is a framework; replace Table N and all numerical claims with your own experiments. The first two steps—finding real papers, understanding them, and isolating the difference—are the hard work that phrasing templates cannot do. Only the third step is primarily about wording.

Frequently Asked Questions

How long should a response letter be?

There is no uniform length. Answer every comment independently and identify the corresponding place in the manuscript. A major-revision response may range from a few pages to more than ten.

How quickly should I respond?

Follow the editor's deadline, which is often several weeks to several months for a major revision. If experiments cannot be completed in time, politely request an extension. Most journals accept reasonable requests, and a defensible revision is better than a rushed one.

What if I disagree with the reviewer?

You may disagree, but provide evidence rather than emotion: cite literature, add data, or run experiments, and thank the reviewer for raising the issue. Avoid saying the reviewer misunderstood; say that the manuscript was unclear and now includes an explanation at a specific location.

Does a major revision guarantee acceptance?

No. It means the editor sees publication potential but substantial issues. Solving every issue and reflecting the changes in the manuscript improves the odds, but another round or rejection remains possible.

Should the revised manuscript highlight changes?

Usually. Most journals request a marked manuscript using highlights or tracked changes so reviewers can locate edits quickly. The response letter should also identify the section and page for every change.

Handle Literature Comments in the Workspace

Find real papers, extract comparisons, and draft cited responses in one workflow.