7 citations · 14 across the 7 of their papers we have counts for
4 papers · 1 filter
Multi-Objective Agentic Rewrites for Unstructured Data Processing
Lindsey Linxi Wei, Shreya Shankar, Sepanta Zeighami +3
One year ago, we open-sourced DocETL, a declarative system for LLM-powered data processing that, as of March 2026, has 3.7K GitHub stars and users across domains (e.g., journalism,…
Cortex: Workflow-Aware Resource Pooling and Scheduling for Agentic Serving
Nikos Pagonas, Yeounoh Chung, Kostis Kaffes +1
We introduce Cortex, a prototype workflow-aware serving platform designed for agentic workloads. The core principle of Cortex is stage isolation: it provisions dedicated resource p…
High-Fidelity And Complex Test Data Generation For Google SQL Code Generation Services
Shivasankari Kannan, Yeounoh Chung, Amita Gondi +2
The demand for high-fidelity test data is paramount in industrial settings where access to production data is largely restricted. Traditional data generation methods often fall sho…
Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL
Yeounoh Chung, Gaurav T. Kakkar, Yu Gan +2
Large Language Models (LLMs) have demonstrated impressive capabilities across a range of natural language processing tasks. In particular, improvements in reasoning abilities and t…