activity
20222026
most citedDeploying a Steered Query Optimizer in Production at Microsoft

20 citations · 38 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2026

ParallelPilot: Supporting Coordination and Monitoring in Parallel AI Coding

Tao Long, Weili Shi, Hussein Mozannar +2

As coding assistants become increasingly autonomous, developers run multiple sessions in parallel, shifting the challenge from code generation alone to coordinating and monitoring…

cs.AI2026

SentinelBench: A Benchmark for Long-Running Monitoring Agents

Matheus Kunzler Maldaner, Adam Fourney, Amanda Swearngin +5

AI agents are increasingly asked to carry out work that spans minutes, hours, or longer. Yet the default model of agent behavior is continuous action: issuing tool calls, refreshin…

cs.AI2025★ 3 cited

Magentic-UI: Towards Human-in-the-loop Agentic Systems

Hussein Mozannar, Gagan Bansal, Cheng Tan +17

AI agents powered by large language models are increasingly capable of autonomously completing complex, multi-step tasks using external tools. Yet, they still fall short of human-l…

cs.AI2024★ 15 cited

Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks

Adam Fourney, Gagan Bansal, Hussein Mozannar +17

Modern AI agents, driven by advances in large foundation models, promise to enhance our productivity and transform our lives by augmenting our knowledge and capabilities. To achiev…

cs.DB2022★ 20 cited

Deploying a Steered Query Optimizer in Production at Microsoft

Wangda Zhang, Matteo Interlandi, Paul Mineiro +6

Modern analytical workloads are highly heterogeneous and massively complex, making generic query optimizers untenable for many customers and scenarios. As a result, it is important…