AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning. - Madeleine Grunde-McLaughlin; Ranjay Krishna; Maneesh Agrawala (CVPR, 2021)

Bayesian-Assisted Inference from Visualized Data. - Yea-Seul Kim; Paula Kayongo; Madeleine Grunde-McLaughlin; Jessica Hullman (IEEE Trans. Vis. Comput. Graph., 2021)

Measuring Compositional Consistency for Video Question Answering. - Mona Gandhi; Mustafa Omer Gul; Eva Prakash; Madeleine Grunde-McLaughlin; Ranjay Krishna; Maneesh Agrawala (CVPR, 2022)

AGQA 2.0: An Updated Benchmark for Compositional Spatio-Temporal Reasoning. - Madeleine Grunde-McLaughlin; Ranjay Krishna; Maneesh Agrawala (CoRR, 2022)

Explanations Can Reduce Overreliance on AI Systems During Decision-Making. - Helena Vasconcelos; Matthew Jörke; Madeleine Grunde-McLaughlin; Tobias Gerstenberg; Michael S. Bernstein; Ranjay Krishna (Proc. ACM Hum. Comput. Interact., 2023)

How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study. - Ken Gu; Madeleine Grunde-McLaughlin; Andrew M. McNutt; Jeffrey Heer; Tim Althoff (CHI, 2024)

Towards AI-assisted Academic Writing. - Daniel J. Liebling; Malcolm Kane; Madeleine Grunde-McLaughlin; Ian J. Lang; Subhashini Venugopalan; Michael P. Brenner (CoRR, 2025)

Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows. - Madeleine Grunde-McLaughlin; Michelle S. Lam; Ranjay Krishna; Daniel S. Weld; Jeffrey Heer (ACM Trans. Comput. Hum. Interact., 2025)

Magentic-UI: Towards Human-in-the-loop Agentic Systems. - 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; et al. (CoRR, 2025)