Tiankai Yang

According to our database, Tiankai Yang authored at least 19 papers between 2023 and 2026.

Collaborative distances:

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

2026

Cat-DPO: Category-Adaptive Safety Alignment.

Tiankai Yang, Yi Nian, Xinyuan Li, Ruiyao Xu, Kaize Ding, Yue Zhao

CoRR, April, 2026

No Attacker Needed: Unintentional Cross-User Contamination in Shared-State LLM Agents.

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

CoRR, April, 2026

AddrProbe: An Internet-Wide Active IPv6 Address Probing System With Limited Seeds.

Daguo Cheng, Lin He, Qilei Yin, Guangxing Han, Yizhen Zhang, Boran Jin, Ying Liu, Guanglei Song, Jinlong E, Tiankai Yang, Jiahai Yang

IEEE Trans. Netw., 2026

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

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

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

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

CoRR, October, 2025

M3OOD: Automatic Selection of Multimodal OOD Detectors.

Yuehan Qin, Li Li, Defu Cao, Tiankai Yang, Yue Zhao

CoRR, August, 2025

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

CoRR, May, 2025

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection.

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

CoRR, May, 2025

StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization.

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

CoRR, April, 2025

Efficient Model Selection for Time Series Forecasting via LLMs.

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

CoRR, April, 2025

Treble Counterfactual VLMs: A Causal Approach to Hallucination.

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

CoRR, March, 2025

PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection.

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

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

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

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

Treble Counterfactual VLMs: A Causal Approach to Hallucination.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

NLP-ADBench: NLP Anomaly Detection Benchmark.

Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu, Yue Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

AD-LLM: Benchmarking Large Language Models for Anomaly Detection.

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

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, Xiaohu You, Yue Zhao

CoRR, 2024

2023

Efficient and Robust KPI Outlier Detection for Large-Scale Datacenters.

Yongqian Sun, Daguo Cheng, Tiankai Yang, Yuhe Ji, Shenglin Zhang, Man Zhu, Xiao Xiong, Qiliang Fan, Minghan Liang, Dan Pei, Tianchi Ma, Yu Chen

IEEE Trans. Computers, October, 2023