A guide to efficient handling of scholarly literature
Solutions for research scenarios:
- Batch processing:Support uploading multiple PDF documents at the same time and automatically generating comparative analysis reports (Premium account required)
- Precision Extraction:Use structured questioning e.g. extract all methodology sections / list research hypotheses / summarize data tables
- Knowledge Mapping:Enter the [Build Domain Relationship Graph] command and the AI will recognize the citation relationships between the documents
- Writing Assistance:Automatic generation of review paragraphs based on processed literature with accurate reference labeling
Typical workflow: 1) Build a thematic literature base → 2) Upload key papers in batch → 3) Cross-analyze using documents → 4) Generate a research gap report → 5) Automatically draft a thesis framework → 6) Continuously update the latest results. Note: 1) Check the statistics extracted by AI; 2) Verify the original text for important citations; 3) Use academic writing templates to keep the format standardized; 4) Combine with real-time search to track the dynamics of the field.
This answer comes from the articleChatly: Intelligent Chat and Content Generation Tool with Integration of Multiple AI ModelsThe
May not be reproduced without permission:AI productivity tools " How can Chatly be applied to improve the efficiency of document processing in academic research?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil