Ruiyao Xu.

Harness²: Recursive Agent Harnessing for an Open World

Ruiyao Xu, Yanfei Chen, Zhongying CuiZhu, Bhavana Dalvi Mishra, Yifei Ming, Han Yu, Rujun Han, Chen-Yu Lee, Tomas Pfister

Work done during an internship at Google Cloud AI Research.

Code ↗ Discussed on X ↗

HyperSkill: Self-Evolving LLM Agents via Hypergraph-Structured Skill Memory

Ruiyao Xu, Tiankai Yang, Wei-Chieh Huang

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

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

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

Ruiyao Xu, Kaize Ding

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

DataStamp: Domain-Specific Data Synthesis via Structural Projection

Ruiyao Xu, Han Liu, Noelle I. Samia

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

Ruiyao Xu, Noelle I. Samia, Han Liu

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

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

MUSTANG: Multi-Variable Spatio-Temporal Meta-Learning for Water Data Imputation

Yaotian Zhu, Ruiyao Xu, Zhaoyang Guan, Kexin Zhang, Noah Rudko, Chuxu Zhang, Rebecca L. Muenich, K. Selcuk Candan, Kaize Ding

A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents

Wei-Chieh Huang*, Weizhi Zhang*, Yueqing Liang*, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, …, Ruiyao Xu, …, Jiawei Han, Philip S. Yu, Kai Shu

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

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

Ruiyao Xu, Kaize Ding