| Stylometric detection of ai-generated text in twitter timelines T Kumarage, J Garland, A Bhattacharjee, K Trapeznikov, S Ruston, H Liu arXiv preprint arXiv:2303.03697, 2023 | 28 | 2023 |
| Can knowledge graphs reduce hallucinations in LLMs?: A survey G Agrawal, T Kumarage, Z Alghami, H Liu Accepted to NAACL 2024 Main Track, 2023 | 24* | 2023 |
| Conda: Contrastive domain adaptation for ai-generated text detection A Bhattacharjee, T Kumarage, R Moraffah, H Liu IJCNLP-AACL 2023 (🏆Outstanding Paper Award), 2023 | 16 | 2023 |
| Generative adversarial networks (GAN) based anomaly detection in industrial software systems T Kumarage, S Ranathunga, C Kuruppu, N De Silva, M Ranawaka 2019 Moratuwa Engineering Research Conference (MERCon) (🏆Best Student Paper …, 2019 | 10 | 2019 |
| How reliable are ai-generated-text detectors? an assessment framework using evasive soft prompts T Kumarage, P Sheth, R Moraffah, J Garland, H Liu EMNLP 2023 Findings, 2023 | 6 | 2023 |
| Peace: Cross-platform hate speech detection-a causality-guided framework P Sheth*, T Kumarage*, R Moraffah, A Chadha, H Liu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 6 | 2023 |
| J-guard: Journalism guided adversarially robust detection of ai-generated news T Kumarage, A Bhattacharjee, D Padejski, K Roschke, D Gillmor, ... IJCNLP-AACL 2023, 2023 | 5 | 2023 |
| Causality Guided Disentanglement for Cross-Platform Hate Speech Detection P Sheth, R Moraffah, TS Kumarage, A Chadha, H Liu Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 4 | 2024 |
| Towards detecting harmful agendas in news articles M Subbiah, A Bhattacharjee, Y Hua, T Kumarage, H Liu, K McKeown arXiv preprint arXiv:2302.00102, 2023 | 4 | 2023 |
| Anomaly Detection in Industrial Software Systems-Using Variational Autoencoders. T Kumarage, N De Silva, M Ranawaka, C Kuruppu, S Ranathunga ICPRAM, 440-447, 2018 | 4 | 2018 |
| Harnessing artificial intelligence to combat online hate: Exploring the challenges and opportunities of large language models in hate speech detection T Kumarage, A Bhattacharjee, J Garland arXiv preprint arXiv:2403.08035, 2024 | 2 | 2024 |
| Neural Authorship Attribution: Stylometric Analysis on Large Language Models T Kumarage, H Liu CyberC 2023, 2023 | 2 | 2023 |
| Studying the influence of toxicity and emotion features for stress detection on social media Z Alghamdi, T Kumarage, M Karami, F Alatawi, A Mosallanezhad, H Liu ECSM 2023 10th European Conference on Social Media, 2023 | 2 | 2023 |
| A survey of ai-generated text forensic systems: Detection, attribution, and characterization T Kumarage, G Agrawal, P Sheth, R Moraffah, A Chadha, J Garland, H Liu arXiv preprint arXiv:2403.01152, 2024 | 1 | 2024 |
| Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement P Sheth, T Kumarage, R Moraffah, A Chadha, H Liu arXiv preprint arXiv:2404.11036, 2024 | | 2024 |
| Code RED: Reactive Emotion Difference for Stress Detection on Social Media. Z Alghamdi, F Alatawi, M Karami, T Kumarage, A Mosallanezhad, H Liu SBP-BRiMS 2023, 2023 | | 2023 |
| Data Generation for Neural Disinformation Detection T Kumarage, A Bhattacharjee, K Shu, H Liu Working Paper Track, SBP-BRiMS 2021, 2021 | | 2021 |
| Customer profiling to improve service and management of mobility on demand (MOD) Systems KTS Kumarage | | 2019 |
Huan LiuRegents Professor, Arizona State Universityasu.edu의 이메일 확인됨
