Aaai Author Response

AAAI Author Response

Use this after AAAI reviews are released. AAAI rebuttal space is scarce: the AAAI-26 FAQ allowed a single 2500-character response, disallowed URLs, and discouraged new results. Reopen the current rebuttal FAQ before drafting.

Triage

• Respond to decision-critical factual errors first.
• Address human reviews and AI-generated review points when they affect the SPC/AC decision.
• Do not spend space on tone, score fairness, or reviewer motivation.
• Do not include URLs if current rules forbid them.
• Do not introduce new experiments or results. Explain existing evidence, clarify omissions, or

state why requested experiments are not needed.

• If supplementary files were missing or corrupted, acknowledge the limitation; AAAI-26 did not

permit updates at rebuttal time.

What moves an AAAI score

Author feedback at AAAI is read by human reviewers and weighed in SPC/AC discussion, not by the non-decisional AI review. With one short response and no second round, spend every character on the concern most likely to flip a borderline decision. Triage each reviewer point into a lane:

• Factual error that, if uncorrected, sinks the paper: answer first, cite the submitted anchor.
• Misread of an existing result: clarify and point to the table, theorem, or appendix line.
• Request for a new experiment: explain why submitted evidence covers it, or scope the claim.
• Taste or framing complaint: usually skip; a defensive paragraph rarely moves the score.

Reviewer-pushback patterns and the AAAI fix

• "No comparison to method X." Fix: name the submitted table row that includes X, or argue X is out

of scope; do not promise a fresh run that rules forbid.

• "Results may not hold beyond one benchmark." Fix: cite the seed or split variation in the

supplement; if absent, narrow the claim instead.

• "The AI-generated review flags a missing baseline." Fix: correct it calmly with a submitted

pointer; the AI review is advisory, so a one-line factual rebuttal suffices.

Worked vignette

A multi-agent-coordination paper gets two borderline scores. Reviewer 1 wrongly says the protocol ignores communication cost; Reviewer 2 asks for a human-baseline study. Triage: R1 is decision- critical, so sentence one corrects it and cites Section 4's cost ledger; R2's request is out of scope, so one sentence notes the simulator already bounds it and limits the claim to simulated agents. Tone and the AI review's nit are cut to stay under budget.

Compression pattern

1. One sentence: central correction.
2. One sentence: strongest evidence in the submitted paper/checklist/supplement.
3. One sentence: answer the most damaging reviewer concern.
4. One sentence: clarify scope or limitation.
5. One sentence: optional camera-ready clarification if accepted.

Output format

[Response budget] 
[Priority issue] 
[Draft rebuttal] 
[Submitted evidence anchor] 
[Cut list] 

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: brycewang-stanford
• Source: brycewang-stanford/Awesome-Journal-Skills
• License: MIT
• Homepage: https://www.copaper.ai

Install and usage instructions live in the source repository linked above.