60 citations · 68 across the 4 of their papers we have counts for
5 papers
Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances
Seungju Han, Beomsu Kim, Jin Yong Yoo +4
In this paper, we consider mimicking fictional characters as a promising direction for building engaging conversation models. To this end, we present a new practical task where onl…
Towards Improving Adversarial Training of NLP Models
Jin Yong Yoo, Yanjun Qi
Adversarial training, a method for learning robust deep neural networks, constructs adversarial examples during training. However, recent methods for generating NLP adversarial exa…
Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples
Jin Yong Yoo, John X. Morris, Eli Lifland +1
We study the behavior of several black-box search algorithms used for generating adversarial examples for natural language processing (NLP) tasks. We perform a fine-grained analysi…
TextAttack: Lessons learned in designing Python frameworks for NLP
John X. Morris, Jin Yong Yoo, Yanjun Qi
TextAttack is an open-source Python toolkit for adversarial attacks, adversarial training, and data augmentation in NLP. TextAttack unites 15+ papers from the NLP adversarial attac…
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP
John X. Morris, Eli Lifland, Jin Yong Yoo +3
While there has been substantial research using adversarial attacks to analyze NLP models, each attack is implemented in its own code repository. It remains challenging to develop…