Review papers using highlights and go!

Latest Version

Version

1.1.3

Update

December 8, 2023

Size

11.4MiB

Developer

AnnotateGPT Extension

AnnotateGPT is a chrome extension to allow conference and journal reviewers to review papers using annotations assisted by LLM such as GPT-4 and Claude 2.

Main features:

AutoAnnotating. LLM-generated annotations as a starting point for reviewers, streamlining the review process by focusing on relevant excerpts based on specific criteria.

Color-coding highlighting. You define a Review Model (e.g., originality, legibility and so on), each model’s attribute is mapped to a colour to be used during highlighting at review time,

Qualify highlighting. Highlights can be associated with comments, grades (strengths and weaknesses) or references to the literature. Your comments would undertake a sentiment analysis to avoid offensive wordings.

Canvas view. Have a global picture of the review so far. The canvas is plotted along with the attributes of the review model. Gradations and highlights are shown within each plot.

Review-draft generation. A first text draft is generated as a review head-start. Comments are placed by the manuscript quotes for authors to easily spot the rationales for the reviewer comments.

Sharing. Data is stored locally. Yet, it can be exported as a JSON file and emailed to colleagues who can then import it into their AnnotateGPT installations. On loading the manuscript, your colleagues will see the very same view as you.

Source Manifest.json

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