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20242026
most citedSageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling

3 citations · 5 across the 10 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.LG2025

SynthAgent: Adapting Web Agents with Synthetic Supervision

Zhaoyang Wang, Yiming Liang, Xuchao Zhang +9

Web agents struggle to adapt to new websites due to the scarcity of environment specific tasks and demonstrations. Recent works have explored synthetic data generation to address t…

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★ 3 cited

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.AI2025★ 1 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.…