| Authorship attribution for neural text generation A Uchendu, T Le, K Shu, D Lee Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 203 | 2020 |
| Turingbench: A benchmark environment for turing test in the age of neural text generation A Uchendu, Z Ma, T Le, R Zhang, D Lee Findings of the Association for Computational Linguistics: EMNLP 2021, 2021 | 120 | 2021 |
| MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark D Macko, R Moro, A Uchendu, JS Lucas, M Yamashita, M Pikuliak, I Srba, ... The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 51 | 2023 |
| Attribution and obfuscation of neural text authorship: A data mining perspective A Uchendu, T Le, D Lee ACM SIGKDD Explorations Newsletter 25 (1), 1-18, 2023 | 44 | 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 The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 35 | 2023 |
| Gpt-who: An information density-based machine-generated text detector S Venkatraman, A Uchendu, D Lee Findings of the Association for Computational Linguistics: NAACL 2024, 2024 | 31 | 2024 |
| Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts? A Uchendu, J Lee, H Shen, T Le, THK Huang, D Lee 11th AAAI Conference on Human Computation and Crowdsourcing, 2023 | 27 | 2023 |
| Authorship obfuscation in multilingual machine-generated text detection D Macko, R Moro, A Uchendu, I Srba, JS Lucas, M Yamashita, NI Tripto, ... arXiv preprint arXiv:2401.07867, 2024 | 16 | 2024 |
| A ship of theseus: curious cases of paraphrasing in llm-generated texts NI Tripto, S Venkatraman, D Macko, R Moro, I Srba, A Uchendu, T Le, ... arXiv preprint arXiv:2311.08374, 2023 | 12* | 2023 |
| A reverse turing test for detecting machine-made texts J Shao, A Uchendu, D Lee Proceedings of the 10th ACM Conference on Web Science, 275-279, 2019 | 12 | 2019 |
| Characterizing Man-made vs. Machine-made Chatbot Dialogs. A Uchendu, J Cao, Q Wang, B Luo, D Lee TTO, 2019 | 11 | 2019 |
| HANSEN: human and AI spoken text benchmark for authorship analysis NI Tripto, A Uchendu, T Le, M Setzu, F Giannotti, D Lee Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 10 | 2023 |
| Robustness of bayesian neural networks to white-box adversarial attacks A Uchendu, D Campoy, C Menart, A Hildenbrandt 2021 IEEE Fourth International Conference on Artificial Intelligence and …, 2021 | 10 | 2021 |
| Reverse Turing Test in the Age of Deepfake Texts A Uchendu The Pennsylvania State University, 2023 | 8 | 2023 |
| Tutorials at the web conference 2023 V Fionda, O Hartig, R Abdolazimi, S Amer-Yahia, H Chen, X Chen, P Cui, ... Companion Proceedings of the ACM Web Conference 2023, 648-658, 2023 | 7 | 2023 |
| TopFormer: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles A Uchendu, T Le, D Lee The 27th European Conference on Artificial Intelligence (ECAI 2024), 2024 | 4* | 2024 |
| Plagbench: Exploring the duality of large language models in plagiarism generation and detection J Lee, T Agrawal, A Uchendu, T Le, J Chen, D Lee arXiv preprint arXiv:2406.16288, 2024 | 4 | 2024 |
| Catch me if you gpt: Tutorial on deepfake texts A Uchendu, S Venkatraman, T Le, D Lee Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 3 | 2024 |
| Beemo: Benchmark of Expert-edited Machine-generated Outputs E Artemova, J Lucas, S Venkatraman, J Lee, S Tilga, A Uchendu, ... arXiv preprint arXiv:2411.04032, 2024 | 2 | 2024 |
| Tutorial on Artificial Text Detection A Uchendu, V Mikhailov, J Lee, S Venkatraman, T Shavrina, E Artemova Conference International Natural Language Generation (INLG 2022), 2022 | 2 | 2022 |
Dongwon LeeProfessor, The Pennsylvania State Universityכתובת אימייל מאומתת בדומיין psu.edu