Do Language Models Plagiarize? J Lee, T Le, J Chen, D Lee Proceedings of the ACM Web Conference 2023, 3637-3647, 2023 | 54 | 2023 |
Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense T Le, J Lee, K Yen, Y Hu, D Lee arXiv preprint arXiv:2203.10346, 2022 | 26 | 2022 |
Digital Inequality Through the Lens of Self-Disclosure. J Lee, SM Rajtmajer, E Srivatsavaya, S Wilson Proc. Priv. Enhancing Technol. 2021 (3), 373-393, 2021 | 13 | 2021 |
Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts? A Uchendu, J Lee, H Shen, T Le, D Lee Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 11 …, 2023 | 10* | 2023 |
Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation J Lucas, A Uchendu, M Yamashita, J Lee, S Rohatgi, D Lee arXiv preprint arXiv:2310.15515, 2023 | 10 | 2023 |
Online Self-Disclosure, Social Support, and User Engagement During the COVID-19 Pandemic J Lee, S Rajtmajer, E Srivatsavaya, S Wilson ACM Transactions on Social Computing, 2023 | 4 | 2023 |
Tutorial on Artificial Text Detection A Uchendu, V Mikhailov, J Lee, S Venkatraman, T Shavrina, E Artemova | 1* | |
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought J Lee, F Yang, T Tran, Q Hu, E Barut, KW Chang, C Su arXiv preprint arXiv:2404.03414, 2024 | | 2024 |