mlsanityData to 14 Oct 2026

Diagnosing and Resolving Cloud Platform Instability with Multi-modal RAG LLMs

arXiv 2505.21419 ↗First posted 27 May 2025cs.AI cs.OScited by 1

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Abstract (arXiv)

Today's cloud-hosted applications and services are complex systems, and a performance or functional instability can have dozens or hundreds of potential root causes. Our hypothesis is that by combining the pattern matching capabilities of modern AI tools with a natural multi-modal RAG LLM interface, problem identification and resolution can be simplified. ARCA is a new multi-modal RAG LLM system that targets this domain. Step-wise evaluations show that ARCA outperforms state-of-the-art alternatives.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 16 of its 26 references that are in the map. First posted on arXiv 27 May 2025.

Builds on

16 of 26 references.

References · 16

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4 more
  1. 2024LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detectioncited by 15
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

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