most citedAIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.AI2025

UFO2: The Desktop AgentOS

Chaoyun Zhang, He Huang, Chiming Ni +18

Recent Computer-Using Agents (CUAs), powered by multimodal large language models (LLMs), offer a promising direction for automating complex desktop workflows through natural langua…

cs.AI2025

Synergistic Weak-Strong Collaboration by Aligning Preferences

Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang +7

Current Large Language Models (LLMs) excel in general reasoning yet struggle with specialized tasks requiring proprietary or domain-specific knowledge. Fine-tuning large models for…

cs.DC2025

An Empirical Study of Production Incidents in Generative AI Cloud Services

Haoran Yan, Yinfang Chen, Minghua Ma +10

The ever-increasing demand for generative artificial intelligence (GenAI) has motivated cloud-based GenAI services such as Azure OpenAI Service and Amazon Bedrock. Like any large-s…

cs.DC2025

SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling

Shashwat Jaiswal, Kunal Jain, Yogesh Simmhan +9

Global cloud service providers handle inference workloads for Large Language Models (LLMs) that span latency-sensitive (e.g., chatbots) and insensitive (e.g., report writing) tasks…

cs.AI20251 cited

AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds

Yinfang Chen, Manish Shetty, Gagan Somashekar +6

AI for IT Operations (AIOps) aims to automate complex operational tasks, such as fault localization and root cause analysis, to reduce human workload and minimize customer impact.…

cs.LG2024

Ensuring Fair LLM Serving Amid Diverse Applications

Redwan Ibne Seraj Khan, Kunal Jain, Haiying Shen +12

In a multi-tenant large language model (LLM) serving platform hosting diverse applications, some users may submit an excessive number of requests, causing the service to become una…