activity
20202026
most citedMagentic-UI: Towards Human-in-the-loop Agentic Systems

3 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

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.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.AI2025

Towards AI-assisted Academic Writing

Daniel J. Liebling, Malcolm Kane, Madeleine Grunde-Mclaughlin +3

We present components of an AI-assisted academic writing system including citation recommendation and introduction writing. The system recommends citations by considering the user'…

cs.HC2023★ 3 cited

How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study

Ken Gu, Madeleine Grunde-McLaughlin, Andrew M. McNutt +2

Data analysis is challenging as analysts must navigate nuanced decisions that may yield divergent conclusions. AI assistants have the potential to support analysts in planning thei…

cs.HC2020★ 2 cited

Bayesian-Assisted Inference from Visualized Data

Yea-Seul Kim, Paula Kayongo, Madeleine Grunde-McLaughlin +1

A Bayesian view of data interpretation suggests that a visualization user should update their existing beliefs about a parameter's value in accordance with the amount of informatio…