most citedMagentic-UI: Towards Human-in-the-loop Agentic Systems

3 citations · 3 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.HC2026

Overseeing Agents Without Constant Oversight: Challenges and Opportunities

Madeleine Grunde-McLaughlin, Hussein Mozannar, Maya Murad +3

To enable human oversight, agentic AI systems often provide a trace of reasoning and action steps. Designing traces to have an informative, but not overwhelming, level of detail re…

cs.MA2025

Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets

Gagan Bansal, Wenyue Hua, Zezhou Huang +21

As LLM agents advance, they are increasingly mediating economic decisions, ranging from product discovery to transactions, on behalf of users. Such applications promise benefits bu…

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…