Madeleine Grunde-McLaughlin

19 papers A* 3A 1Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Overseeing Agents Without Constant Oversight: Challenges and Opportunities.
CoRR
Madeleine Grunde-McLaughlin, Hussein Mozannar, Maya Murad, Jingya Chen, Saleema Amershi, Adam Fourney
2026 A conf
RDoFlow: Automatically assessing under-specified statistical analyses in HCI.
IUI
Madeleine Grunde-McLaughlin, Weixuan Liu, Ria Patil, Nino Migineishvili, Emily Reif, Ranjay Krishna, Daniel S. Weld, Jeffrey Heer
2026 J jnl
Wildfire and Forest Management: Opportunities for HCI Research.
ACM Trans. Comput. Hum. Interact.
Nino Migineishvili, Madeleine Grunde-McLaughlin, Emmanuel Azuh, Spencer Wood, René Just, Katharina Reinecke
2025 J jnl
Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows.
ACM Trans. Comput. Hum. Interact.
Madeleine Grunde-McLaughlin, Michelle S. Lam, Ranjay Krishna, Daniel S. Weld, Jeffrey Heer
2025 J jnl
Magentic-UI: Towards Human-in-the-loop Agentic Systems.
CoRR
Hussein Mozannar, Gagan Bansal, Cheng Tan, Adam Fourney, Victor Dibia, Jingya Chen, Jack Gerrits, Tyler Payne, Matheus Kunzler Maldaner, Madeleine Grunde-McLaughlin, Eric Zhu, Griffin Bassman, Jacob Alber, Peter Chang, Ricky Loynd, Friederike Niedtner, Ece Kamar, Maya Murad, Rafah Hosn, Saleema Amershi
2025 J jnl
Towards AI-assisted Academic Writing.
CoRR
Daniel J. Liebling, Malcolm Kane, Madeleine Grunde-McLaughlin, Ian J. Lang, Subhashini Venugopalan, Michael P. Brenner
2025 J jnl
Visual Representations inside the Language Model.
CoRR
Benlin Liu, Amita Kamath, Madeleine Grunde-McLaughlin, Winson Han, Ranjay Krishna
2024 A* conf
How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study.
CHI
Ken Gu, Madeleine Grunde-McLaughlin, Andrew M. McNutt, Jeffrey Heer, Tim Althoff
2023 J jnl
Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows.
CoRR
Madeleine Grunde-McLaughlin, Michelle S. Lam, Ranjay Krishna, Daniel S. Weld, Jeffrey Heer
2023 J jnl
Explanations Can Reduce Overreliance on AI Systems During Decision-Making.
Proc. ACM Hum. Comput. Interact.
Helena Vasconcelos, Matthew Jörke, Madeleine Grunde-McLaughlin, Tobias Gerstenberg, Michael S. Bernstein, Ranjay Krishna
2023 J jnl
How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study.
CoRR
Ken Gu, Madeleine Grunde-McLaughlin, Andrew M. McNutt, Jeffrey Heer, Tim Althoff
2022 J jnl
AGQA 2.0: An Updated Benchmark for Compositional Spatio-Temporal Reasoning.
CoRR
Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala
2022 J jnl
Explanations Can Reduce Overreliance on AI Systems During Decision-Making.
CoRR
Helena Vasconcelos, Matthew Jörke, Madeleine Grunde-McLaughlin, Tobias Gerstenberg, Michael S. Bernstein, Ranjay Krishna
2022 A* conf
Measuring Compositional Consistency for Video Question Answering.
CVPR
Mona Gandhi, Mustafa Omer Gul, Eva Prakash, Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala
2022 J jnl
Measuring Compositional Consistency for Video Question Answering.
CoRR
Mona Gandhi, Mustafa Omer Gul, Eva Prakash, Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala
2021 A* conf
AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning.
CVPR
Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala
2021 J jnl
AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning.
CoRR
Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala
2021 J jnl
Bayesian-Assisted Inference from Visualized Data.
IEEE Trans. Vis. Comput. Graph.
Yea-Seul Kim, Paula Kayongo, Madeleine Grunde-McLaughlin, Jessica Hullman
2020 J jnl
Bayesian-Assisted Inference from Visualized Data.
CoRR
Yea-Seul Kim, Paula Kayongo, Madeleine Grunde-McLaughlin, Jessica Hullman