Publications

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

Preprints & under submission

Model Routing for Large Language Models: A Unified Taxonomy and Survey

Wang Wei, Tiankai Yang, Xiangbo Gao, Chan-Wei Hu, Reuben Luera, Runzhou Liu, Nigel Fernandez, Li Li, Lunyiu Nie, Bo Ni, Junda Wu, Chien Van Nguyen, Deonna Owens, Hongjie Chen, Seunghyun Yoon, Puneet Mathur, Tong Yu, Sungchul Kim, Koustava Goswami, Zichao Wang, Joe Barrow, Samyadeep Basu, Xiang Chen, Namyong Park, Nesreen K. Ahmed, Nedim Lipka, Thien Huu Nguyen, Ting-Hao Kenneth Huang, Franck Dernoncourt, Trung Bui, Ryan A. Rossi, Yue Zhao, Zhengzhong Tu, Hongru Du, Tyler Derr, Yu Wang, Hoda Eldardiry

SSRN preprint, 2026
Paper Code
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

Conference papers

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

NeurIPS, 2026
Paper
HyperSkill: Self-Evolving LLM Agents via Hypergraph-Structured Skill Memory

Ruiyao Xu, Tiankai Yang, Wei-Chieh Huang

NeurIPS TTCL Workshop, 2026
Paper
SynCo: Data Synthesis Co-Training for Self-Evolving LLMs via Multi-Agent Reinforcement Learning

Wei Yang, Li Li, Yuehan Qin, Yawei Wang, Mingxi Wang, Shixuan Li, Tiankai Yang, Jiate Li, Jesse Thomason, Xuezhe Ma, Yue Zhao

NeurIPS TTCL Workshop, 2026
Paper
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
DOG-DPO: Dynamic Optimization in Geometry for Safety Alignment

Yi Nian, Tiankai Yang, Yudi Zhang, Qi Pan, Zelong Xu, Shenzhe Zhu, Qingqing Luan, Yue Huang, Xiangliang Zhang, Yue Zhao

EMNLP Findings, 2026
Paper
FlexRouter: Learning Complementary Model Sets for Flexible LLM Routing

Wang Wei, Harry Yang, Tiankai Yang, Samyadeep Basu, Hongjie Chen, Andy Zhao, Franck Dernoncourt, Ryan A. Rossi, Hoda Eldardiry

COLM, 2026
Paper
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization

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

Trustworthy AI for Good (AI4GOOD) Workshop @ ICML, 2026
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