Ruiyao Xu

According to our database, Ruiyao Xu authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

The Text Uncanny Valley: Non-Monotonic Performance Degradation in LLM Information Retrieval.

Zekai Tong, Ruiyao Xu, Aryan Shrivastava, Chenhao Tan, Ari Holtzman

CoRR, May, 2026

Cat-DPO: Category-Adaptive Safety Alignment.

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

CoRR, April, 2026

GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback.

Ruiyao Xu, Kaize Ding

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

DS²-Instruct: Domain-Specific Data Synthesis for Large Language Models Instruction Tuning.

Ruiyao Xu, Noelle I. Samia, Han Liu

CoRR, March, 2026

Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey.

Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu

CoRR, February, 2026

DS2-Instruct: Domain-Specific Data Synthesis for Large Language Models Instruction Tuning.

Ruiyao Xu, Noelle I. Samia, Han Liu

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 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

Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey.

Ruiyao Xu, Kaize Ding

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 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

Sleptsov net based reliable embedded system design on microcontrollers and FPGAs.

Ruiyao Xu, Si Zhang, Ding Liu, Dmitry A. Zaitsev

Proceedings of the IEEE International Conference on Embedded Software and Systems, 2024

2022

Population-Based Hierarchical Non-Negative Matrix Factorization for Survey Data.

Xiaofu Ding, Xinyu Dong, Olivia McGough, Chenxin Shen, Annie Ulichney, Ruiyao Xu, William Swartworth, Jocelyn T. Chi, Deanna Needell

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022