Alice is a Web Extension to supercharge your literature review, making research accessible to all. Just hover on a citation and get all the information you need. Install now from the chrome webstore!
By integrating multiple APIs and aggregating data from multiple sources, Alice is your go-to tool for literature review and academic software development.
Alice works by using pdf.js, which is a JavaScript platform for rendering PDFs. Alice every hover, fetches information about the cited paper, and opens a popup with the information so you don't have to navigate back-and-forth to the References section several hundred times.
(Coming Soon!) Research Papers also have a lot of code. There's a website dedicated to this, called https://paperswithcode.com/ This website exists to democratize the implementation of these research papers as code that you can use in your software. Alice automates this for you as well! By using the arXiv API, we prompt-engineered the Claude Sonnet models to thoroughly go through the cited paper and generate instructions for your code. It generates an embeddable link with all context necessary to replicate the paper's results. You can simply take the link, paste it into your favorite AI-code-editor and it will do the magic for you.
This tool is extremely cost-effective. It takes less than 5 cents to generate the code for a given paper, and completely free for summarization since it is supported by Google Gemini. There is no cost of servers or database. With just a few dollars in sponsorship, Alice can operate for years and serve thousands of users without ever charging them a penny. This tool takes less than 1 minute to install and is instantly available when you open a reserach paper.
Hobbyists, mewbies, and researchers in the field of technology spend more time reading research papers than ever before. The rapid growth and widespread adoption of GenAI technology has sparked greater public interest in the field on an academic level. As an undergraduate researcher and tech optimist, I love reading research papers. They shape our present lives and will continue to guide us to the future. However, academia was not accessible to all readers because of its hefty prerequisites.
An average paper on arXiv cites 30-50 other papers, that is 30-50 many concepts a reader may need to read through. Those new to research and those who read papers as a hobby face this barrier of entry, which could be demotivating and time-consuming. Currently, solutions include opening multiple tabs on your browser to have more context, but that is time-intensive and not optimal for your computing resources. With the advent of LLMs and AI tools, a lot of people use them to summarize key findings of a paper but that too requires one to navigate away from their paper and just makes the whole process inconvenient.
Built by Aryan Keluskar :) Consider leaving a 🌟 if this adds value, and all feedback is very welcome. Feel free to message me on twitter.