Search Results for author: Jin Yong Yoo

Found 6 papers, 5 papers with code

TextAttack: Lessons learned in designing Python frameworks for NLP

no code implementations EMNLP (NLPOSS) 2020 John Morris, Jin Yong Yoo, Yanjun Qi

TextAttack is an open-source Python toolkit for adversarial attacks, adversarial training, and data augmentation in NLP.

Adversarial Attack Data Augmentation

Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances

1 code implementation NAACL 2022 Seungju Han, Beomsu Kim, Jin Yong Yoo, Seokjun Seo, SangBum Kim, Enkhbayar Erdenee, Buru Chang

To better reflect the style of the character, PDP builds the prompts in the form of dialog that includes the character's utterances as dialog history.

Chatbot Retrieval

Towards Improving Adversarial Training of NLP Models

1 code implementation Findings (EMNLP) 2021 Jin Yong Yoo, Yanjun Qi

Adversarial training, a method for learning robust deep neural networks, constructs adversarial examples during training.

Domain Generalization Sentence

Towards Automatic Actor-Critic Solutions to Continuous Control

1 code implementation16 Jun 2021 Jake Grigsby, Jin Yong Yoo, Yanjun Qi

Model-free off-policy actor-critic methods are an efficient solution to complex continuous control tasks.

Continuous Control

Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples

2 code implementations EMNLP (BlackboxNLP) 2020 Jin Yong Yoo, John X. Morris, Eli Lifland, Yanjun Qi

We study the behavior of several black-box search algorithms used for generating adversarial examples for natural language processing (NLP) tasks.

Adversarial Text Benchmarking +1

TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP

2 code implementations EMNLP 2020 John X. Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby, Di Jin, Yanjun Qi

TextAttack also includes data augmentation and adversarial training modules for using components of adversarial attacks to improve model accuracy and robustness.

Adversarial Text Data Augmentation +3

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