In the vast world of academia, navigating through a multitude of academic articles to compose a review paper can be an overwhelming task. QalamReview simplifies this process with advanced large language models, helping you efficiently create a narrative review on your chosen topic.
Explore the User Guide to discover how to maximize your experience with QalamReview.
- Craft customized outlines for your review paper using the app, or upload your own outlines.
- Leverage the search tool to discover academic papers that align with your topic of interest.
- Utilize the app to distill key insights from academic papers into concise summaries, or go further by assembling these insights into a comprehensive draft of your narrative review paper
Follow these steps to set up and run the app:
- Install Required Libraries
pip install -r requirements.txt
- Launch the App
streamlit run 01_Main.py
As an open-source initiative, we deeply appreciate and encourage community contributions. Whether it's through introducing new features, optimizing our existing framework, or enriching our documentation, your involvement is invaluable to us.
🎯 Todos:
- Adding other large language models.
- Refinement of system and user prompts.
- Develop a more advanced summarization algorithm.
- Implement integration with academic search engines like Microsoft Academic Research and Google Scholar to augment article search functionality.
- Enable extraction of tables, equations, and figures from academic papers.