literature-review - Systematic Literature Review for ML Research
Systematic search methodology, taxonomy construction, citation graph exploration, and related work synthesis for ML research.
Tags
Updated: 2026-06-30Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Search papers on Semantic Scholar
- Search papers on arxiv
- Search papers on Google Scholar
- Search venue proceedings on DBLP
- Retrieve forward and backward citations
- Build paper comparison tables
- Construct research taxonomy
- Summarize papers using templates
- Write related work sections
- Monitor arxiv for new papers
- Identify research gaps in taxonomy
Inputs
- Search query terms
- Seed paper IDs for citation graph
- Target venue names
- Year range for filtering
- Known author names
Outputs
- Paper search result lists
- Structured paper summaries
- Method comparison tables
- Research taxonomy structures
- Related work section drafts
- Citation graph data
Requirements
- Python environment with requests library
- arxiv Python package
- Internet access to Semantic Scholar API
- Internet access to arxiv API
- Internet access to Google Scholar