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Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison Scoring of Texts with Large Language Models

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Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison Scoring of Texts with Large Language Models (CGCOT)

Last updated: January 24, 2025

Authors: Patrick Y. Wu, Jonathan Nagler, Joshua A. Tucker, and Solomon Messing

This repository includes an implementation of the CGCoT framework described here.

Usage

To use the functions in this package, install the package first. To do this, navigate to the directory you would like to install the files in. Then,

git clone https://github.com/SMAPPNYU/CGCoT
cd CGCoT
# Create and activate a virtual environment (optional)
python3 -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate
pip install -r requirements.txt
python setup.py develop

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