Orca-Bench: How Ready Are Language Model Agents for Oncall?
Researchers have released a new benchmark called Orca-Bench to evaluate the readiness of language model agents for on-call technical support roles. The paper explores how effectively AI can handle real-world incident response and operational tasks.
Why it matters
As AI agents are increasingly integrated into IT operations, benchmarking their reliability in high-stakes environments is critical for enterprise adoption.
Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Albert Gong [ view email ] [v1] Thu, 30 Jul 2026 17:14:07 UTC (220 KB) Full-text links: Access Paper: View a PDF of the paper titled ORCA-bench: How Ready Are Language Model Agents for Oncall?, by Albert Gong and 7 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.CL < prev | next > new | recent | 2026-07 Change to browse by: cs cs.AI cs.SE References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps?
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