Publications

Selected publications below. See Google Scholar for the complete list. ^* denotes equal contribution.

Preprints & under submission

Cat-DPO: Category-Adaptive Safety Alignment

Tiankai Yang^*, Yi Nian^*, Xinyuan Li, Ruiyao Xu, Henry Peng Zou, Kaize Ding, Xiyang Hu, Yan Liu, Yue Zhao

Under submission, 2026
Paper
No Attacker Needed: Unintentional Cross-User Contamination in Shared-State LLM Agents

Tiankai Yang, Jiate Li, Yi Nian, Shen Dong, Ruiyao Xu, Ryan A. Rossi, Kaize Ding, Yue Zhao

Under submission, 2026
Paper
Learning to Route LLMs from Bandit Feedback: One Policy, Many Trade-offs

Wang Wei, Tiankai Yang, Hongjie Chen, Yue Zhao, Franck Dernoncourt, Ryan A. Rossi, Hoda Eldardiry

Under submission, 2025
Paper
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization

Yiming Tang, Yi Fan, Chenxiao Yu, Tiankai Yang, Yue Zhao, Xiyang Hu

Under submission, 2025
Paper Code

Conference papers

CoAct: Co-Active LLM Preference Learning with Human-AI Synergy

Ruiyao Xu, Mihir Parmar, Tiankai Yang, Zhengyu Hu, Yue Zhao, Kaize Ding

ACL, 2026 Oral
Paper Code
A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations

Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao

NeurIPS MTI-LLM Workshop, 2025 Spotlight
Paper Code
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection

Tiankai Yang^*, Junjun Liu^*, Michael Siu^*, Jiahang Wang, Zhuangzhuang Qian, Chanjuan Song, Cheng Cheng, Xiyang Hu, Yue Zhao

IJCNLP-AACL Findings, 2025
Paper Code
Treble Counterfactual VLMs: A Causal Approach to Hallucination

Shawn Li, Jiashu Qu, Yuxiao Zhou, Yuehan Qin, Tiankai Yang, Yue Zhao

EMNLP Findings, 2025
Paper Code
AD-LLM: Benchmarking Large Language Models for Anomaly Detection

Tiankai Yang^*, Yi Nian^*, Shawn Li, Ruiyao Xu, Yuangang Li, Jiaqi Li, Zhuo Xiao, Xiyang Hu, Ryan A. Rossi, Kaize Ding, Xia Hu, Yue Zhao

ACL Findings, 2025
Paper Code
DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection

Shawn Li, Huixian Gong, Hao Dong, Tiankai Yang, Zhengzhong Tu, Yue Zhao

CVPR, 2025 Highlight
Paper Code
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection

Sihan Chen^*, Zhuangzhuang Qian^*, Michael Siu^*, Tiankai Yang, Xingcan Hu, Jiaqi Li, Shawn Li, Yuehan Qin, Zhuo Xiao, Wanghao Ye, Yichi Zhang, Yushun Dong, Yue Zhao

The Web Conference (Demo Track), 2025
Paper Code