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Yiran Li

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#artificial intelligence Preprint Sep 2026

SRE-Marathon: A Continuous, Change-Driven Benchmark for Autonomous Site Reliability Agents

Benchmarks for site reliability engineering (SRE) agents are typically episodic: one fault is injected, the agent receives an incident task, and its response is scored. Production operation is not. Incidents surface through noisy alerts, overlap in time, and often originate from code or configuration changes. We presen...

Yi-Fang Tian, Ying-Jian Bai, Yi-Feng He et al. · 0 citations
Preprint Aug 2026

ORCA: Observability-Grounded Program Repair for Microservice Incidents

Results show that operational telemetry can be transformed from diagnostic evidence into actionable repair context: paired telemetry supports repair-oriented localization, while repair graph agents convert localized code and configuration evidence into constrained patch-generation context for the LLM.

Yuan-Chen Gao, Yi-Fang Tian, Yi-Ran Li et al. · 1 citation
Preprint Aug 2026

When Agentic Executions Fail: Detecting and Localizing Runtime Faults from Telemetry

AGENTCHAOSBENCH is presented, a benchmark for detecting and localizing runtime faults in agentic systems from their execution telemetry, and its held-out labels and compact prediction format support reproducible comparison of LLM-based and non-LLM diagnosis methods.

Chenkai Zhang, Yiran Li, Yifang Tian et al. · 0 citations

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