Orca-Bench: How Ready Are Language Model Agents for Oncall?

一句话概要

Abstract page for arXiv paper 2607.28545: ORCA-bench: How Ready Are Language Model Agents for Oncall?

原文开头节选

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…

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv’s community? Learn more about arXivLabs .

(以上为原文节选,完整内容见下方”原文来源”)

这条动态今日登上 Hacker News 首页(20 赞 / 5 评论,来源 arxiv.org)。技术雷达每日自动聚合 AI 工程、后端架构、DevOps 方向的前沿动态;相关工程落地可浏览下方的相关服务与延伸阅读,或直接与我们团队交流。