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| 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](https://github.com/NLP-Final-Projects/Adversarial-QA). | |