PaperPal aims to streamline the process of conducting literature reviews in the field of Artificial Intelligence (AI). It provides tools and resources for exploring, summarizing, and organizing research papers to accelerate understanding and innovation. Whether you're a researcher, student, or enthusiast, this tool is designed to help you focus on impactful work, identify trends, and stay up-to-date with the latest advancements in AI.
- AI Field Focus: Concentrate on specific domains within AI for tailored insights.
- Paper Summaries: Extract concise summaries of relevant papers.
- Code Discovery: Automatically search GitHub and PaperWithCode for project pages and implementations related to the selected papers.
- Paper Discovery: Fetch papers from leading research platforms such as ArXiv, OpenReview.
- Task-Specific Literature Review: Focus on a particular AI problem or subfield for detailed analysis.
- Sorting by Impact: Sort papers based on metrics like h-index or the prestige of the conference where they were published.
- Citation and Trend Analysis: Analyze citation networks, visualize the impact of papers, and identify emerging research trends based on recent publications and citation patterns.
To get started with PaperPal, follow these steps:
- Clone the repository:
git clone https://github.com/itskoi/PaperPal.git
cd PaperPal
- Create a virtual environment (we recommend using conda):
conda create -n paperpal python=3.10
conda activate paperpal
- Install the required dependencies:
pip install -r requirements.txt
We welcome contributions from the community! If you have ideas for new features or improvements, feel free to open an issue or submit a pull request.
In case you want to submit a pull request, please follow these steps:
- Fork the repository.
- Create a new branch:
git checkout -b feature/your-feature-name
- Make your changes and commit them:
git commit -m "Add your commit message"
- Push to the branch:
git push origin feature/your-feature-name
- Create a pull request.
This project is released under the Apache 2.0 license. See the LICENSE file for details.
- Thanks to the contributors of the PaperPal project.
- Special thanks to the developers of the retrieval and generation models used in this project.