ML Paper Writing
Skill Verifiziert AktivWrite publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. For systems venues (OSDI, NSDI, ASPLOS, SOSP), use systems-paper-writing instead.
To assist researchers in drafting, structuring, and preparing publication-ready ML/AI papers for top-tier conferences by providing expert guidance, templates, and tools.
Funktionen
- Write ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM
- Programmatic citation verification to prevent hallucinations
- LaTeX templates for various top conferences
- Guidance on paper structure, narrative, and writing style
- Workflows for repository analysis and iterative drafting
Anwendungsfälle
- Drafting papers from research repositories
- Structuring arguments and identifying core contributions
- Finding and verifying citations programmatically
- Preparing camera-ready submissions using venue-specific templates
Nicht-Ziele
- Writing papers for systems venues (use systems-paper-writing skill instead)
- Generating citations from memory
- Providing generic LLM capabilities without domain-specific structure
Workflow
- Explore research repository to understand project
- Identify existing citations within codebase
- Clarify main contribution with scientist
- Search for relevant literature using APIs
- Verify and retrieve citations programmatically
- Draft paper sections iteratively with feedback
- Format paper using venue-specific LaTeX templates
- Complete conference checklists and submit
Praktiken
- Academic Writing
- Citation Management
- LaTeX Formatting
- Research Workflow
Voraussetzungen
- Access to LaTeX environment (e.g., TeX Live, Overleaf)
- Python environment for citation management scripts
- Access to necessary APIs (Semantic Scholar, CrossRef, arXiv)
Installation
Zuerst Marketplace hinzufügen
/plugin marketplace add Orchestra-Research/AI-Research-SKILLs/plugin install AI-Research-SKILLs@ai-research-skillsQualitätspunktzahl
VerifiziertVertrauenssignale
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