Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when an AEJ: Economic Policy decision letter (R&R or reject-and-resubmit) has arrived and a response-letter strategy and revision plan are needed. Structures the response to referees and editor with policy-relevance front and center; it does not run new estimation or redesign identification from scratch.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
The editor's letter is the contract — prioritize what the editor emphasizes, then address every referee point. At AEJ: Policy the recurring high-stakes asks are about (a) the credibility of the causal claim, (b) the welfare / policy reading, and (c) robustness and reproducibility. Treat the response as a chance to make the policy contribution more prominent, not just to patch holes.
aejpol-theory-model); do not just add caveats.aejpol-replication-package).Respectful, specific, evidence-led. Every "we agree" is followed by a concrete change; every "we respectfully disagree" is followed by an exhibit or a citation. Keep claims calibrated — over-defending invites a second round.
For each referee point, write three short moves so the editor can verify coverage quickly:
Keep the agree:disagree ratio honest — concede the genuine points fully and reserve disagreement for places where you have a concrete exhibit. A letter that disagrees with everything reads as defensive and invites a second round.
An R&R on a transfer-program paper: the editor stresses "the welfare interpretation is not convincing"; Referee 1 doubts parallel trends; Referee 2 wants external validity. Plan: (1) letter opens with the new MVPF derivation answering the editor; (2) R1 → add honest-DID bounds and flat leads to Section 4, cite in the letter; (3) R2 → add heterogeneity by state characteristics and a scope paragraph. A comment→revision table closes the letter. The contribution reads as a sharper policy answer than the original.
【Editor's main concern】+ the 2–3 changes that address it (letter opener)
【Per-referee responses】[comment → change → location → result]
【Concede vs. defend】list, each with its evidence
【Welfare/policy strengthening】what was added (not just caveated)
【Reproducibility】package + restricted-data path confirmed? [Y/N]
【Comment→revision map】attached? [Y/N]
【Next step】resubmit via AEA system
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Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round before SPC/AC discussion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and final public artifact release.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors across the broad AI scope, while staying inside AAAI's dual-submission and AI-as-source policy constraints and writing a related-work section legible to non-specialist reviewers.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that Phase-1 reviewers use to judge rigor across AAAI's broad AI scope.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.