AnnotateGPT: Efficient Paper Reviewing with LLM Assistance
AnnotateGPT is a free Chrome extension developed by onekin.org that aims to streamline the paper reviewing process for conference and journal reviewers. By leveraging the power of LLM, such as GPT-4 and Claude 2, this extension provides reviewers with advanced annotation capabilities.
The main features of AnnotateGPT include AutoAnnotating, which generates LLM-assisted annotations to help reviewers focus on relevant excerpts based on specific criteria. Additionally, the extension offers color-coding highlighting, where reviewers can define a Review Model and map attributes to colors for easy identification during the review process.
AnnotateGPT also allows reviewers to qualify their highlights by associating them with comments, grades, or references to the literature. The extension even performs sentiment analysis on comments to prevent offensive language.
With the Canvas view, reviewers can have a global picture of the review progress. The canvas is plotted along with the attributes of the review model, and gradations and highlights are displayed within each plot.
The extension further simplifies the review process by generating a first text draft as a review head-start. Comments are conveniently placed alongside manuscript quotes to help authors understand the reviewer's rationale.
AnnotateGPT supports collaboration by allowing users to export their data as a JSON file and share it with colleagues. Colleagues can import the file into their own AnnotateGPT installations, ensuring a consistent reviewing experience.
Overall, AnnotateGPT provides a comprehensive set of features that enhance the efficiency and effectiveness of paper reviewing. Its integration with LLM and intuitive interface make it a valuable tool for conference and journal reviewers.
