Search Results for author: Dongwon Lee

Found 22 papers, 10 papers with code

Authorship Attribution for Neural Text Generation

no code implementations EMNLP 2020 Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee

In recent years, the task of generating realistic short and long texts have made tremendous advancements.

Text Generation

Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense

1 code implementation Findings (ACL) 2022 Thai Le, Jooyoung Lee, Kevin Yen, Yifan Hu, Dongwon Lee

We find that adversarial texts generated by ANTHRO achieve the best trade-off between (1) attack success rate, (2) semantic preservation of the original text, and (3) stealthiness--i. e. indistinguishable from human writings hence harder to be flagged as suspicious.

Adversarial Attack

Do Language Models Plagiarize?

no code implementations15 Mar 2022 Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee

Past literature has illustrated that language models do not fully understand the context and sensitivity of text and can sometimes memorize phrases or sentences present in their training sets.

Language Modelling

JAMES: Job Title Mapping with Multi-Aspect Embeddings and Reasoning

no code implementations22 Feb 2022 Michiharu Yamashita, Jia Tracy Shen, Hamoon Ekhtiari, Thanh Tran, Dongwon Lee

One of the most essential tasks needed for various downstream tasks in career analytics (e. g., career trajectory analysis, job mobility prediction, and job recommendation) is Job Title Mapping (JTM), where the goal is to map user-created (noisy and non-standard) job titles to predefined and standard job titles.

Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning

no code implementations20 Oct 2021 Thai Le, Long Tran-Thanh, Dongwon Lee

To this question, we successfully demonstrate that indeed it is possible for adversaries to exploit computational learning mechanism such as reinforcement learning (RL) to maximize the influence of socialbots while avoiding being detected.

Adversarial Attack Hierarchical Reinforcement Learning +2

MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education

1 code implementation2 Jun 2021 Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil Heffernan, Xintao Wu, Ben Graff, Dongwon Lee

Due to the nature of mathematical texts, which often use domain specific vocabulary along with equations and math symbols, we posit that the development of a new BERT model for mathematics would be useful for many mathematical downstream tasks.

Knowledge Tracing Language Modelling +1

Large-Scale Data-Driven Airline Market Influence Maximization

no code implementations31 May 2021 Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park

On top of the prediction models, we define a budget-constrained flight frequency optimization problem to maximize the market influence over 2, 262 routes.

Classifying Math KCs via Task-Adaptive Pre-Trained BERT

no code implementations24 May 2021 Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee

Educational content labeled with proper knowledge components (KCs) are particularly useful to teachers or content organizers.

Detecting micro fractures with X-ray computed tomography

no code implementations23 Mar 2021 Dongwon Lee, Nikolaos Karadimitriou, Matthias Ruf, Holger Steeb

The segmentation results from all five methods are compared to each other in terms of segmentation quality and time efficiency.

SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher

1 code implementation ACL 2022 Thai Le, Noseong Park, Dongwon Lee

Even though several methods have proposed to defend textual neural network (NN) models against black-box adversarial attacks, they often defend against a specific text perturbation strategy and/or require re-training the models from scratch.

Adversarial Robustness

Achieving User-Side Fairness in Contextual Bandits

no code implementations22 Oct 2020 Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil Heffernan

Personalized recommendation based on multi-arm bandit (MAB) algorithms has shown to lead to high utility and efficiency as it can dynamically adapt the recommendation strategy based on feedback.

Fairness Multi-Armed Bandits

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models

1 code implementation1 Sep 2020 Thai Le, Suhang Wang, Dongwon Lee

In recent years, the proliferation of so-called "fake news" has caused much disruptions in society and weakened the news ecosystem.

Fake News Detection

CoAID: COVID-19 Healthcare Misinformation Dataset

2 code implementations22 May 2020 Limeng Cui, Dongwon Lee

As the COVID-19 virus quickly spreads around the world, unfortunately, misinformation related to COVID-19 also gets created and spreads like wild fire.


Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements

1 code implementation2 Jan 2020 Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu

In recent years, disinformation including fake news, has became a global phenomenon due to its explosive growth, particularly on social media.

Fact Checking

GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction

1 code implementation5 Nov 2019 Thai Le, Suhang Wang, Dongwon Lee

Despite the recent development in the topic of explainable AI/ML for image and text data, the majority of current solutions are not suitable to explain the prediction of neural network models when the datasets are tabular and their features are in high-dimensional vectorized formats.

Deep Reinforcement Learning for Personalized Search Story Recommendation

no code implementations26 Jul 2019 Jason, Zhang, Junming Yin, Dongwon Lee, Linhong Zhu

In recent years, \emph{search story}, a combined display with other organic channels, has become a major source of user traffic on platforms such as e-commerce search platforms, news feed platforms and web and image search platforms.

Image Retrieval Imitation Learning +1

FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media

5 code implementations5 Sep 2018 Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu

However, fake news detection is a non-trivial task, which requires multi-source information such as news content, social context, and dynamic information.

Social and Information Networks

Regularizing Matrix Factorization with User and Item Embeddings for Recommendation

2 code implementations31 Aug 2018 Thanh Tran, Kyumin Lee, Yiming Liao, Dongwon Lee

Following recent successes in exploiting both latent factor and word embedding models in recommendation, we propose a novel Regularized Multi-Embedding (RME) based recommendation model that simultaneously encapsulates the following ideas via decomposition: (1) which items a user likes, (2) which two users co-like the same items, (3) which two items users often co-liked, and (4) which two items users often co-disliked.

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