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Canyu Chen
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Can LLM-Generated Misinformation Be Detected?
C Chen, K Shu
Proceedings of ICLR 2024, 🏆 Didactic Paper Award in workshop ICBINB@NeurIPS 2023, 2023
1382023
Combating Misinformation in the Age of LLMs: Opportunities and Challenges
C Chen, K Shu
AI Magazine 2024, 🏆Highlight Article in Volume 45, Issue 3, Fall 2024, 2023
1102023
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
109*2022
Evaluating the social impact of generative ai systems in systems and society
I Solaiman, Z Talat, W Agnew, L Ahmad, D Baker, SL Blodgett, C Chen, ...
Oxford Handbook on the Foundations and Regulation of Generative AI. Oxford …, 2024
1012024
Can Large Language Model Agents Simulate Human Trust Behavior?
C Xie*, C Chen*, F Jia, Z Ye, S Lai, K Shu, J Gu, A Bibi, Z Hu, D Jurgens, ...
Proceedings of NeurIPS 2024 (*equal contributions), workshop AGI@ICLR 2024 …, 2024
442024
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
302022
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
282023
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
252024
Artificial intelligence algorithms for treatment of diabetes
MM Rashid, MR Askari, C Chen, Y Liang, K Shu, A Cinar
Algorithms 15 (9), 299, 2022
172022
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting
X Xu, C Chen, Y Liang, B Huang, G Bai, L Zhao, K Shu
arXiv preprint arXiv:2404.14757, 2024
13*2024
Fair classification via domain adaptation: A dual adversarial learning approach
Y Liang, C Chen, T Tian, K Shu
Frontiers in Big Data 5, 1049565, 2023
13*2023
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
13*2022
Can Large Language Models Identify Authorship?
B Huang, C Chen, K Shu
Proceedings of EMNLP 2024 (Findings, Long paper), 2024
122024
Can Editing LLMs Inject Harm?
C Chen*, B Huang*, Z Li, Z Chen, S Lai, X Xu, JC Gu, J Gu, H Yao, C Xiao, ...
Workshop TiFA@ICML 2024, Lightning Talk, 2024
112024
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
72022
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges
B Huang, C Chen, K Shu
SIGKDD Explorations 2024, 2024
42024
Model Attribution in Machine-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning
A Beigi, Z Tan, N Mudiam, C Chen, K Shu, H Liu
Proceedings of DSAA 2024, 2024
22024
MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection
X Xu, K Ding, C Chen, K Shu
Proceedings of DSAA 2024, 2023
22023
Can Knowledge Editing Really Correct Hallucinations?
B Huang*, C Chen*, X Xu, A Payani, K Shu
Safe Generative AI@NeurIPS 2024 (*equal contributions) 🏆 Top #2 Paper of the …, 2024
12024
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
Z Chen, Y Du, Z Wen, Y Zhou, C Cui, Z Weng, H Tu, C Wang, Z Tong, ...
FM-Wild@ICML 2024, 🏆 Top #1 Paper of the day at HuggingFace AK Daily Papers, 2024
12024
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