Search Results for author: Yongqian Sun

Found 4 papers, 3 papers with code

OpsEval: A Comprehensive IT Operations Benchmark Suite for Large Language Models

1 code implementation11 Oct 2023 Yuhe Liu, Changhua Pei, Longlong Xu, Bohan Chen, Mingze Sun, Zhirui Zhang, Yongqian Sun, Shenglin Zhang, Kun Wang, Haiming Zhang, Jianhui Li, Gaogang Xie, Xidao Wen, Xiaohui Nie, Minghua Ma, Dan Pei

Information Technology (IT) Operations (Ops), particularly Artificial Intelligence for IT Operations (AIOps), is the guarantee for maintaining the orderly and stable operation of existing information systems.

Hallucination In-Context Learning +2

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain

no code implementations1 Aug 2023 Zhenyu Zhong, Qiliang Fan, Jiacheng Zhang, Minghua Ma, Shenglin Zhang, Yongqian Sun, QIngwei Lin, Yuzhi Zhang, Dan Pei

Internet-based services have seen remarkable success, generating vast amounts of monitored key performance indicators (KPIs) as univariate or multivariate time series.

Anomaly Detection Time Series +1

Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems

1 code implementation5 May 2023 Zeyan Li, Junjie Chen, Yihao Chen, Chengyang Luo, Yiwei Zhao, Yongqian Sun, Kaixin Sui, Xiping Wang, Dapeng Liu, Xing Jin, Qi Wang, Dan Pei

Such attribute combinations are substantial clues to the underlying root causes and thus are called root causes of multidimensional data.

Attribute

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