Theo dõi
Canyu Chen
Canyu Chen
Graduate student at Illinois Institute of Technology
Email được xác minh tại hawk.iit.edu - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Can LLM-Generated Misinformation Be Detected?
C Chen, K Shu
Proceedings of ICLR 2024, 🏆 Didactic Paper Award in workshop ICBINB@NeurIPS 2023, 2023
1772023
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
155*2024
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 45 (3 …, 2024
1372024
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
121*2022
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), 2024
702024
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
362024
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
352022
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
312023
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
D Li, B Jiang, L Huang, A Beigi, C Zhao, Z Tan, A Bhattacharjee, Y Jiang, ...
arXiv preprint arXiv:2411.16594, 🏆 Top #3 Paper of the day at HuggingFace AK …, 2024
232024
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
21*2024
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
202024
Artificial intelligence algorithms for treatment of diabetes
MM Rashid, MR Askari, C Chen, Y Liang, K Shu, A Cinar
Algorithms 15 (9), 299, 2022
202022
Can Large Language Models Identify Authorship?
B Huang, C Chen, K Shu
Proceedings of EMNLP 2024 (Findings, Long paper), 2024
192024
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
18*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
15*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
14*2022
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges
B Huang, C Chen, K Shu
SIGKDD Explorations 2024, 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
82022
Model Attribution in LLM-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
7*2024
Can Knowledge Editing Really Correct Hallucinations?
B Huang*, C Chen*, X Xu, A Payani, K Shu
Proceedings of ICLR 2025 (*equal contributions), 🏆 Top #2 Paper of the day …, 2024
62024
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