metadata

title: F22 Adversarial QA
emoji: 🚀
colorFrom: yellow
colorTo: red
sdk: streamlit
sdk_version: 1.17.0
app_file: app.py
pinned: false

Adversarial-QA

This is the final project of the NLP course instructed by Dr. Asgari at Sharif University Technology, Fall 2022.

🚀️Contributers : Hamidreza Amirzadeh, Mohammad Hossein Sameti, Arash Maryoriad, Jalal Nematbakhsh

In this project we aimed to create adversarial examples for the persian state-of-the-art question answering(QA) models and then applying adversarial training methods inoder to make the models robust. The GitHub page of the project is available at this link.