11 citations · 14 across the 7 of their papers we have counts for
3 papers · 1 filter
AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution
Zhiqiang Xie, Hao Kang, Ying Sheng +3
With more advanced natural language understanding and reasoning capabilities, large language model (LLM)-powered agents are increasingly developed in simulated environments to perf…
Cloud Atlas: Efficient Fault Localization for Cloud Systems using Language Models and Causal Insight
Zhiqiang Xie, Yujia Zheng, Lizi Ottens +3
Runtime failure and performance degradation is commonplace in modern cloud systems. For cloud providers, automatically determining the root cause of incidents is paramount to ensur…
cedar: Optimized and Unified Machine Learning Input Data Pipelines
Mark Zhao, Emanuel Adamiak, Christos Kozyrakis
The input data pipeline is an essential component of each machine learning (ML) training job. It is responsible for reading massive amounts of training data, processing batches of…