joker-zxr/my-skills/aaai-related-work
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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.
Install
npx vskill@latest install joker-zxr/my-skills/aaai-related-workSKILL.md
The same SKILL.md was published earlier as brycewang-stanford/awesome-journal-skills/aaai-related-work.
AAAI Related Work
Use this to make the novelty claim robust under AAAI's broad AI review. The related-work section must help reviewers distinguish the paper from both archival work and contemporaneous non-archival work.
Positioning checks
- Identify the closest archival AI papers and current arXiv/workshop work.
- Separate method novelty, task novelty, evaluation novelty, and system integration novelty.
- Cite contemporaneous non-archival work carefully when it affects priority or reviewer
expectations.
- Do not submit substantially similar work to multiple archival venues at the same time.
- Explain how the paper differs from AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors in assumptions,
evidence, scope, and contribution.
- Avoid using AI systems as citable scientific sources under AAAI policy.
Novelty paragraph
Use this structure:
Positioning across AAAI's breadth
AAAI spans search, planning, knowledge representation, constraint satisfaction, multi-agent systems, learning, NLP, vision, and robotics, so the closest prior work may live in a subfield your reviewer does not. Make the contrast explicit for a non-specialist instead of assuming shared background.
| Neighbor venue | Reviewer expectation | Differentiation to spell out | |
|---|---|---|---|
| IJCAI | broad-AI overlap | what your result adds beyond their framing | |
| NeurIPS/ICML | ML method or theory depth | why AAAI breadth, not just a benchmark gain | |
| ICLR | representation-learning lens | non-learning mechanism or guarantee you contribute | |
| AAAI prior years | incremental-track suspicion | the new assumption, evidence, or scope |
Reviewer-pushback patterns
- "This looks concurrent with arXiv paper Y." Fix: cite Y, state it is non-archival and contemporaneous,
and name the specific setting or evidence you add; do not bury or ignore it.
- "Isn't this the same as your workshop paper?" Fix: clarify the archival delta and confirm no
substantially similar work is under review elsewhere, satisfying the dual-submission rule.
- "Citation looks AI-generated." Fix: verify every reference against a real source; AAAI policy bars
AI systems as citable scientific sources and hallucinated citations are a credibility risk.
Worked vignette
A reasoning-over-knowledge-graphs paper sits near both a KR archival line and a recent NeurIPS embedding paper. Using the axes: against KR work the difference is evidence (learned vs. hand-built rules); against the NeurIPS neighbor it is scope (logical soundness, not just link prediction). One contemporaneous arXiv preprint is cited as non-archival with a one-line delta, and the dual-submission box is checked clean.
Output format
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingplugins/my-skills/resources/Awesome-Journal-Skills/AAAI-Skills/skills/aaai-related-work/SKILL.md
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