1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.DB2025
KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes
Eugenie Lai, Gerardo Vitagliano, Ziyu Zhang +16
Discovering insights from a real-world data lake potentially containing unclean, semi-structured, and unstructured data requires a variety of data processing tasks, ranging from ex…
cs.DC2024★ 1 cited
CascadeServe: Unlocking Model Cascades for Inference Serving
Ferdi Kossmann, Ziniu Wu, Alex Turk +3
Machine learning (ML) models are increasingly deployed to production, calling for efficient inference serving systems. Efficient inference serving is complicated by two challenges:…
cs.CL2024
A Declarative System for Optimizing AI Workloads
Chunwei Liu, Matthew Russo, Michael Cafarella +7
A long-standing goal of data management systems has been to build systems which can compute quantitative insights over large corpora of unstructured data in a cost-effective manner…