| 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 | 347* | 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 | 48 | 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 | 35 | 2022 |
| 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 | 32* | 2023 |
| 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 | 31 | 2023 |
| Fin-fact: A benchmark dataset for multimodal financial fact checking and explanation generation A Rangapur, H Wang, K Shu Companion Proceedings of the ACM Web Conference 2025 (WWW), 2023 | 13 | 2023 |
| Investigating online financial misinformation and its consequences: A computational perspective A Rangapur, H Wang, K Shu arXiv preprint arXiv:2309.12363, 2023 | 10 | 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 | 1 | 2024 |
| On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective Y Huang, C Gao, S Wu, H Wang, X Wang, Y Zhou, Y Wang, J Ye, J Shi, ... arXiv preprint arXiv:2502.14296, 2025 | | 2025 |
| Benchmarking LLMs for Political Science: A United Nations Perspective Y Liang, L Yang, C Wang, C Xia, R Meng, X Xu, H Wang, A Payani, K Shu arXiv preprint arXiv:2502.14122, 2025 | | 2025 |
| Make Every Token Count: A Systematic Survey on Decoding Methods for Foundation Models H Wang, K Shu | | 2025 |
Kai ShuAssistant Professor of Computer Science, Emory Universityยืนยันอีเมลแล้วที่ emory.edu