| TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP J Morris, E Lifland, JY Yoo, J Grigsby, D Jin, Y Qi Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 799 | 2020 |
| Towards Improving Adversarial Training of NLP Models JY Yoo, Y Qi arXiv preprint arXiv:2109.00544, 2021 | 136 | 2021 |
| Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples JY Yoo, JX Morris, E Lifland, Y Qi arXiv preprint arXiv:2009.06368, 2020 | 56 | 2020 |
| Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances S Han, B Kim, JY Yoo, S Seo, S Kim, E Erdenee, B Chang arXiv preprint arXiv:2204.10825, 2022 | 34 | 2022 |
| Towards Automatic Actor-Critic Solutions to Continuous Control J Grigsby, JY Yoo, Y Qi arXiv preprint arXiv:2106.08918, 2021 | 8 | 2021 |
| TextAttack: Lessons learned in designing Python frameworks for NLP JX Morris, JY Yoo, Y Qi arXiv preprint arXiv:2010.01724, 2020 | 7 | 2020 |
Yanjun QiFaculty @UVa CS / PhD @CMU / DATA Scholar@ NIH/ Principal Applied Scientist @ AWSVerified email at virginia.edu
