A PaperBridge long-tail question
How do you turn a set of AI papers into a literature review?
Define a review question with a scope you can screen, and record search terms, databases, dates, and exclusion reasons. Extract each paper's task, data, method, baselines, results, and limits into the same fields. Write by research line, evidence difference, and open problem rather than summarizing paper A and then paper B.
Define a search and screening scope you can execute
Set boundaries for task, method, time, language, publication type, and application. A broad scope produces papers that cannot be compared, while a narrow one can miss key predecessors.
Save queries, search dates, and databases, and give excluded papers a short reason. This makes the sample understandable and the review updateable.
Extract every paper into one evidence matrix
Use one row per paper and columns for question, data, model, resources, baselines, metrics, main results, limits, and artifacts. Shared fields reveal which findings are comparable.
Keep author conclusions separate from your assessment. Attach table or page references to important numbers so the review does not amplify claims from memory.
Write around evidence relationships
Group papers by shared assumption, method line, or dispute. Explain where findings agree, where they conflict, and whether data, metrics, or budgets explain the difference.
End with evidence gaps such as missing multilingual tests, real-user evaluation, or independent reproduction. Let the next research questions follow from the mapped evidence.
Six checkable elements of a literature review
- What is the research question and inclusion scope?
- Are search terms, sources, and dates saved?
- Can exclusion reasons be explained?
- Did every paper use the same extraction fields?
- Can major claims be traced to a table or passage?
- Are agreement, conflict, and gaps stated separately?
Primary research and official documentation
These sources support the facts. Workflow and comparison guidance is PaperBridge's synthesis of research, official documentation, and engineering practice.