Trustllm: Trustworthiness in large language models L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ... The Forty-first International Conference on Machine Learning (ICML), 2024 | 252* | 2024 |
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models H Wang, K Shu Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 38 | 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, 2022 | 30 | 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 ACM Web Conference 2023 (WWW), 2023 | 28 | 2023 |
Trojan activation attack: Attack large language models using activation steering for safety-alignment H Wang, K Shu Proceedings of the ACM International Conference on Information and Knowledge …, 2023 | 22* | 2023 |
Fin-fact: A benchmark dataset for multimodal financial fact checking and explanation generation A Rangapur, H Wang, K Shu arXiv preprint arXiv:2309.08793, 2023 | 9 | 2023 |
Investigating online financial misinformation and its consequences: A computational perspective A Rangapur, H Wang, K Shu arXiv preprint arXiv:2309.12363, 2023 | 8 | 2023 |
Piecing It All Together: Verifying Multi-Hop Multimodal Claims H Wang, A Rangapur, X Xu, Y Liang, H Gharwi, C Yang, K Shu Proceedings of the 31st International Conference on Computational …, 2024 | | 2024 |