Journal and Book Chapter

[J3] Beyond Tokens: A Survey on Decoding Methods for Large Language Models and Large Vision-Language Models

Haoran Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu.

Proceedings of ACM SIGKDD Explorations Newsletter 28.1 (2026)

[J2] Automated Fact-Checking

Haoran Wang, Baixiang Huang, Kai Shu.

Chapter in Oxford Handbook of Misinformation and Disinformation, Oxford University Press

[J1] Factuality of Large Language Models: An Adversarial Perspective [Link]

Baixiang Huang, Haoran Wang, Kai Shu.

Chapter in Online Trust and Safety: Tools to Combat Online Harms, Misinformation, and Malicious Content, Taylor and Francis CRC Press

Conference

[C12] KDD 2026 Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation [PDF]

Haoran Wang, Xiongxiao Xu, Baixiang Huang, Kai Shu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026)

[C11] ICLR 2026 On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective [PDF]

Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, et al.

Proceedings of the Fourteenth International Conference on Learning Representations

[C10] WWW 2026 Can Multimodal LLMs Perform Time Series Anomaly Detection? [PDF]

Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu

Proceedings of the ACM Web Conference 2026

[C9] AAAI 2026 Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm [PDF]

Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu

Proceedings of the AAAI Conference on Artificial Intelligence

[C8] AAAI 2026 Benchmarking LLMs for Political Science: A United Nations Perspective [PDF]

Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu

Proceedings of the AAAI Conference on Artificial Intelligence

[C7] IJCNLP-AACL 2025 Spatial-Aware Visual Program Guided Reasoning for Answering Complex Visual Questions [PDF]

Haoran Wang, Kai Shu

Findings of the Association for Computational Linguistics: IJCNLP-AACL 2025

[C6] WWW2025 FIN-FACT: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation [PDF] [code]

Aman Rangapur, Haoran Wang, Ling Jian, Kai Shu

Companion Proceedings of the ACM Web Conference 2025

[C5] COLING2025 Piecing It All Together: Verifying Multi-Hop Multimodal Claims [PDF] [code]

Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu

Proceedings of the 31st International Conference on Computational Linguistics

[C4] CIKM2024 Trojan Activation Attack: Red-Teaming Large Language Models using Steering Vectors for Safety-Alignment [PDF] [code]

Haoran Wang, Kai Shu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management

[C3] ICML2024 TrustLLM: Trustworthiness in Large Language Models [PDF] [code]

Yue Huang*, Lichao Sun*, Haoran Wang*, Siyuan Wu*, Qihui Zhang*, Chujie Gao*, Yixin Huang*, Wenhan Lyu*, Yixuan Zhang*, Xiner Li*, Zhengliang Liu*, Yixin Liu*, Yijue Wang*, Zhikun Zhang*, Bhavya Kailkhura, Caiming Xiong, et al. (*: major contribution)

Proceedings of the Forty-first International Conference on Machine Learning

[C2] EMNLP2023 Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models [PDF] [code]

Haoran Wang, Kai Shu

Findings of the Association for Computational Linguistics: EMNLP 2023

[C1] WWW2023 Attacking Fake News Detectors via Manipulating News Social Engagement [PDF] [code]

Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu

Proceedings of the ACM Web Conference 2023

Preprint

[P5] Do LLMs Know What Is Private Internally? Probing and Steering Contextual Privacy Norms in Large Language Model Representations

Haoran Wang, Li Xiong, Kai Shu

[P4] Towards Effective Model Editing for LLM Personalization

Baixiang Huang, Limeng Cui, Jiapeng Liu, Haoran Wang, Jiawei Xu, Zhuiyue Tan, Yutong Chen, Chen Luo, Yi Liu, Kai Shu

[P3] Fact-Checking with Large Language Models via Probabilistic Certainty and Consistency

Haoran Wang, Maryam Khalid, Qiong Wu, Jian Gao, Cheng Cao

[P2] Investigating Online Financial Misinformation and Its Consequences: A Computational Perspective

Aman Rangapur, Haoran Wang, Kai Shu

[P1] Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues

Canyu Chen*, Haoran Wang*, Matthew Shapiro, Yunyu Xiao, Fei Wang, Kai Shu (*: eqaul contribution)