YAI-X-Prevenotics

Members 👋

김진영  :  YAI 13th  /  jinyeong1324@yonsei.ac.kr
서정민  :  YAI 12th  /  jmme425@yonsei.ac.kr
전희재  :  YAI 12th  /  0914eagle@yonsei.ac.kr
고현아  :  YAI 13th  /  kha9867@yonsei.ac.kr
조인희  :  YAI 13th  /  choinh@yonsei.ac.kr

Getting Started 🔥

This project is based on model from Med42-Llama. We would like to acknowledge the contributors and maintainers of that repository for their valuable work.

Setup

GPU Installation (Optional)

To enable GPU support, install TensorFlow with CUDA by running:

pip install tensorflow[and-cuda]

Installation Steps

To set up desired environment, follow these steps:

1. Clone the repository:

git clone https://github.com/jmjmfasdf/YAI-X-Prevenotics.git

2. Install conda environment:

conda create -n prevenotics python=3.11
conda activate prevenotics

3. Install python requriements:

pip install -r requirements.txt

4. Install pretrained model:

python download_model.py

Usage

Report generation

This script calculates the average similarity between multiple people. If a save path is not specified, it plots the similarity matrix; otherwise, it saves the similarity matrix to the specified path.

You can manually run python code individually by running:

python run_qa.py

Skills

Citations

Models

@misc{2408.06142,
Author = {Clément Christophe and Praveen K Kanithi and Tathagata Raha and Shadab Khan and Marco AF Pimentel},
Title = {Med42-v2: A Suite of Clinical LLMs},
Year = {2024},
Eprint = {arXiv:2408.06142},
}

Datasets

@inproceedings{hartvigsen2022toxigen,
  title={ToxiGen: A Large-Scale Machine-Generated Dataset for Implicit and Adversarial Hate Speech Detection},
  author={Hartvigsen, Thomas and Gabriel, Saadia and Palangi, Hamid and Sap, Maarten and Ray, Dipankar and Kamar, Ece},
  booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics},
  year={2022}
}

@article{jin2020disease,
  title={What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams},
  author={Jin, Di and Pan, Eileen and Oufattole, Nassim and Weng, Wei-Hung and Fang, Hanyi and Szolovits, Peter},
  journal={arXiv preprint arXiv:2009.13081},
  year={2020}
}