most citedAgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents

10 citations · 14 across the 8 of their papers we have counts for

collaborators

10 papers

cs.SE20262 cited

Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism

Lingzhe Zhang, Tong Jia, Yunpeng Zhai +5

Microservice systems have become the backbone of cloud-native enterprise applications due to their resource elasticity, loosely coupled architecture, and lightweight deployment. Ye…

cs.SE20262 cited

Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices

Lingzhe Zhang, Tong Jia, Yunpeng Zhai +5

As contemporary microservice systems become increasingly popular and complex-often comprising hundreds or even thousands of fine-grained, interdependent subsystems-they are experie…

cs.CL2025

MicroRemed: Benchmarking LLMs in Microservices Remediation

Lingzhe Zhang, Yunpeng Zhai, Tong Jia +6

Large Language Models (LLMs) integrated with agent-based reasoning frameworks have recently shown strong potential for autonomous decision-making and system-level operations. One p…

cs.LG2025

LogAction: Consistent Cross-system Anomaly Detection through Logs via Active Domain Adaptation

Chiming Duan, Minghua He, Pei Xiao +11

Log-based anomaly detection is a essential task for ensuring the reliability and performance of software systems. However, the performance of existing anomaly detection methods hea…

cs.SE2025

United We Stand: Towards End-to-End Log-based Fault Diagnosis via Interactive Multi-Task Learning

Minghua He, Chiming Duan, Pei Xiao +8

Log-based fault diagnosis is essential for maintaining software system availability. However, existing fault diagnosis methods are built using a task-independent manner, which fail…

cs.SE2025

Walk the Talk: Is Your Log-based Software Reliability Maintenance System Really Reliable?

Minghua He, Tong Jia, Chiming Duan +6

Log-based software reliability maintenance systems are crucial for sustaining stable customer experience. However, existing deep learning-based methods represent a black box for se…