most citedTickIt: Leveraging Large Language Models for Automated Ticket Escalation

4 citations · 5 across the 4 of their papers we have counts for

collaborators

7 papers

cs.SE2025

ErrorPrism: Reconstructing Error Propagation Paths in Cloud Service Systems

Junsong Pu, Yichen Li, Zhuangbin Chen +6

Reliability management in cloud service systems is challenging due to the cascading effect of failures. Error wrapping, a practice prevalent in modern microservice development, enr…

cs.SE2025

LogPilot: Intent-aware and Scalable Alert Diagnosis for Large-scale Online Service Systems

Zhihan Jiang, Jinyang Liu, Yichen Li +7

Effective alert diagnosis is essential for ensuring the reliability of large-scale online service systems. However, on-call engineers are often burdened with manually inspecting ma…

cs.SE20254 cited

TickIt: Leveraging Large Language Models for Automated Ticket Escalation

Fengrui Liu, Xiao He, Tieying Zhang +6

In large-scale cloud service systems, support tickets serve as a critical mechanism for resolving customer issues and maintaining service quality. However, traditional manual ticke…

cs.DB20251 cited

PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models

Xianghong Xu, Xiao He, Tieying Zhang +3

Number of Distinct Values (NDV) estimation of a multiset/column is a basis for many data management tasks, especially within databases. Despite decades of research, most existing m…

cs.DB2025

VIDEX: A Disaggregated and Extensible Virtual Index for the Cloud and AI Era

Rong Kang, Shuai Wang, Tieying Zhang +6

Virtual index, also known as hypothetical indexes, play a crucial role in database query optimization. However, with the rapid advancement of cloud computing and AI-driven models f…

cs.CL2025

OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Haoyang Li, Shang Wu, Xiaokang Zhang +9

Text-to-SQL, the task of translating natural language questions into SQL queries, plays a crucial role in enabling non-experts to interact with databases. While recent advancements…