aaai-related-work

GitHub

辅助撰写AAAI论文相关工作部分,通过对比归档与非归档文献、明确创新点维度及应对常见质疑,确保在AAI广谱领域和双投政策约束下清晰展示新颖性。

AAAI-Skills/skills/aaai-related-work/SKILL.md brycewang-stanford/Awesome-Journal-Skills

Trigger Scenarios

撰写AAAI论文的Related Work章节 分析论文与IJCAI/NeurIPS等邻接会议工作的差异 处理arXiv预印本或 workshop 论文的同期竞争问题 检查是否违反AAAI双投政策或AI引用规定

Install

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaai-related-work -g -y
More Options

Non-standard path

npx skills add https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAAI-Skills/skills/aaai-related-work -g -y

Use without installing

npx skills use brycewang-stanford/Awesome-Journal-Skills@aaai-related-work

指定 Agent (Claude Code)

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaai-related-work -a claude-code -g -y

安装 repo 全部 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --all -g -y

预览 repo 内 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --list

SKILL.md

Frontmatter
{
    "name": "aaai-related-work",
    "description": "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."
}

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:

Closest prior work solves <problem> under <assumptions>.
It does not address <specific missing setting/mechanism/evidence>.
This paper contributes <new item> and verifies it through <evidence>.
The claim is limited to <scope>.

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

[Closest work] <paper/system/benchmark>
[Difference axis] problem / method / theory / data / evaluation / system / impact
[Must-cite items] <archival and contemporaneous work>
[Multiple-submission risk] none / clarify / withdraw / reroute
[Revision text] <AAAI-ready related-work paragraph>

Version History

  • 1839142 Current 2026-07-05 12:11

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Metadata

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