Haoran Wang

According to our database, Haoran Wang authored at least 25 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Can Multimodal LLMs Perform Time Series Anomaly Detection?

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

Proceedings of the ACM Web Conference 2026, 2026

Benchmarking LLMs for Political Science: A United Nations Perspective.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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

CoRR, December, 2025

Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation.

Haoran Wang, Xiongxiao Xu, Baixiang Huang, Kai Shu

CoRR, August, 2025

Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm.

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

CoRR, June, 2025

GroverGPT-2: Simulating Grover's Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization.

Min Chen, Jinglei Cheng, Pingzhi Li, Haoran Wang, Tianlong Chen, Junyu Liu

CoRR, May, 2025

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.

Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang

CoRR, February, 2025

GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching.

Haoran Wang, Pingzhi Li, Min Chen, Jinglei Cheng, Junyu Liu, Tianlong Chen

CoRR, January, 2025

Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact-Checking and Explanation Generation.

Aman Rangapur, Haoran Wang, Ling Jian, Kai Shu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Spatial-Aware Visual Program Guided Reasoning for Answering Complex Visual Questions.

Haoran Wang, Kai Shu

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Piecing It All Together: Verifying Multi-Hop Multimodal Claims.

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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

MIMIR: A Streamlined Platform for Personalized Agent Tuning in Domain Expertise.

Chunyuan Deng, Xiangru Tang, Yilun Zhao, Hanming Wang, Haoran Wang, Wangchunshu Zhou, Arman Cohan, Mark Gerstein

CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.

Lichao Sun, Yue Huang, 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, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao

CoRR, 2024

Position: TrustLLM: Trustworthiness in Large Language Models.

Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention.

Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications.

Xiangru Tang, Chunyuan Deng, Hanming Wang, Haoran Wang, Yilun Zhao, Wenqi Shi, May Fung, Wangchunshu Zhou, Jiannan Cao, Heng Ji, Arman Cohan, Mark Gerstein

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Trojan Activation Attack: Red-Teaming Large Language Models using Steering Vectors for Safety-Alignment.

Haoran Wang, Kai Shu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Backdoor Activation Attack: Attack Large Language Models using Activation Steering for Safety-Alignment.

Haoran Wang, Kai Shu

CoRR, 2023

Investigating Online Financial Misinformation and Its Consequences: A Computational Perspective.

Aman Rangapur, Haoran Wang, Kai Shu

CoRR, 2023

Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation.

Aman Rangapur, Haoran Wang, Kai Shu

CoRR, 2023

ChatGPT-Crawler: Find out if ChatGPT really knows what it's talking about.

Aman Rangapur, Haoran Wang

CoRR, 2023

Attacking Fake News Detectors via Manipulating News Social Engagement.

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

Proceedings of the ACM Web Conference 2023, 2023

Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models.

Haoran Wang, Kai Shu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues.

Canyu Chen, Haoran Wang, Matthew A. Shapiro, Yunyu Xiao, Fei Wang, Kai Shu

CoRR, 2022