Guide to Building Automated Workflows for Academic Research
The following workflows need to be configured to implement an automated literature review:
- Creating "paper search intelligences": integrating with the Tavily API, setting search parameters (timeframe, keywords, field filters)
- Connecting Abstract Extraction Intelligence: Configuring Claude's Model to Parse PDFs and Extract Core Arguments
- Add "Synthesis Generation Node": use GPT-4o to analyze extracted content, categorize it by topic, and generate Markdown reports
Key Setup Tips: 1. Set "Academic Source Priority" flag in Search node 2. Add "Reference Format Handling" preprocessing rule for Abstract Extractor 3. Configure "Dispute Point Labeling" option in Review node 3. Configure the "Controversial point labeling" option in the Review node.
A typical workflow takes about 15-30 minutes and can handle automated analysis of 50+ papers.
This answer comes from the articleCommonGround: Building a Workflow Platform for Multi-Intelligence CollaborationThe
May not be reproduced without permission:AI productivity tools " How can CommonGround be applied to automatically generate a literature review in an academic research scenario?
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