BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs K Liu, Y Dou, Y Zhao, X Ding, X Hu, R Zhang, K Ding, C Chen, H Peng, ... Proceedings of NeurIPS 2022 Datasets and Benchmarks Track, 2022 | 75* | 2022 |
Can LLM-Generated Misinformation Be Detected? C Chen, K Shu Proceedings of ICLR 2024, 🏆 Didactic Paper Award in workshop ICBINB@NeurIPS 2023, 2023 | 68 | 2023 |
Combating Misinformation in the Age of LLMs: Opportunities and Challenges C Chen, K Shu AI Magazine 2024, 2023 | 45 | 2023 |
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues C Chen*, H Wang*, M Shapiro, Y Xiao, F Wang, K Shu arXiv preprint arXiv:2211.05289 (*equal contributions), 2022 | 22 | 2022 |
Attacking Fake News Detectors via Manipulating News Social Engagement H Wang, Y Dou, C Chen, L Sun, PS Yu, K Shu Proceedings of The Web Conference 2023 (WWW'23), 2023 | 21 | 2023 |
Artificial intelligence algorithms for treatment of diabetes MM Rashid, MR Askari, C Chen, Y Liang, K Shu, A Cinar Algorithms 15 (9), 299, 2022 | 12 | 2022 |
Can Large Language Model Agents Simulate Human Trust Behaviors? C Xie*, C Chen*, F Jia, Z Ye, K Shu, A Bibi, Z Hu, P Torr, B Ghanem, G Li arXiv:2402.04559 (*equal contributions), workshop AGI@ICLR 2024, MSLD 2024 …, 2024 | 10 | 2024 |
When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes C Chen, Y Liang, X Xu, S Xie, A Kundu, A Payani, Y Hong, K Shu arXiv preprint arXiv:2207.08336, 2022 | 10* | 2022 |
Fair classification via domain adaptation: A dual adversarial learning approach Y Liang, C Chen, T Tian, K Shu Frontiers in Big Data 5, 129, 2023 | 6* | 2023 |
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners C Chen, K Shu Proceedings of EACL 2023 (Main Conference, Long Paper), workshop ENLSP …, 2022 | 3 | 2022 |
Can Large Language Models Identify Authorship? B Huang, C Chen, K Shu arXiv preprint arXiv:2403.08213, 2024 | 1 | 2024 |
MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection X Xu, K Ding, C Chen, K Shu arXiv preprint arXiv:2305.10668, 2023 | 1 | 2023 |
Introducing v0. 5 of the ai safety benchmark from mlcommons B Vidgen, A Agrawal, AM Ahmed, V Akinwande, N Al-Nuaimi, N Alfaraj, ... arXiv preprint arXiv:2404.12241, 2024 | | 2024 |