Madeleine Grunde-McLaughlin

About Madeleine Grunde-McLaughlin

Madeleine Grunde-McLaughlin, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of Human AI Interaction, Interpretable AI, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Designing LLM chains by adapting techniques from crowdsourcing workflows

How do data analysts respond to ai assistance? a wizard-of-oz study

Explanations can reduce overreliance on ai systems during decision-making

Semantic Navigator: Query Driven Active Learning for Historical Narrative Understanding

When do XAI methods work? A cost-benefit approach to human-AI collaboration

Agqa 2.0: An updated benchmark for compositional spatio-temporal reasoning

Measuring compositional consistency for video question answering

Agqa: A benchmark for compositional spatio-temporal reasoning

Madeleine Grunde-McLaughlin Information

University

Position

___

Citations(all)

161

Citations(since 2020)

161

Cited By

3

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Madeleine Grunde-McLaughlin Skills & Research Interests

Human AI Interaction

Interpretable AI

Computer Vision

Top articles of Madeleine Grunde-McLaughlin

Designing LLM chains by adapting techniques from crowdsourcing workflows

arXiv preprint arXiv:2312.11681

2023/12/18

Madeleine Grunde-Mclaughlin
Madeleine Grunde-Mclaughlin

H-Index: 1

Ranjay Krishna
Ranjay Krishna

H-Index: 19

Jeffrey Heer
Jeffrey Heer

H-Index: 55

How do data analysts respond to ai assistance? a wizard-of-oz study

arXiv preprint arXiv:2309.10108

2023/9/18

Madeleine Grunde-Mclaughlin
Madeleine Grunde-Mclaughlin

H-Index: 1

Jeffrey Heer
Jeffrey Heer

H-Index: 55

Tim Althoff
Tim Althoff

H-Index: 16

Explanations can reduce overreliance on ai systems during decision-making

Proceedings of the ACM on Human-Computer Interaction

2023/4/16

Semantic Navigator: Query Driven Active Learning for Historical Narrative Understanding

2023

Madeleine Grunde-Mclaughlin
Madeleine Grunde-Mclaughlin

H-Index: 1

When do XAI methods work? A cost-benefit approach to human-AI collaboration

CHI Workshop on Trust and Reliance in AI-Human Teams

2022/4/30

Agqa 2.0: An updated benchmark for compositional spatio-temporal reasoning

arXiv preprint arXiv:2204.06105

2022/4/12

Madeleine Grunde-Mclaughlin
Madeleine Grunde-Mclaughlin

H-Index: 1

Ranjay Krishna
Ranjay Krishna

H-Index: 19

Maneesh Agrawala
Maneesh Agrawala

H-Index: 47

Measuring compositional consistency for video question answering

2022

Madeleine Grunde-Mclaughlin
Madeleine Grunde-Mclaughlin

H-Index: 1

Ranjay Krishna
Ranjay Krishna

H-Index: 19

Maneesh Agrawala
Maneesh Agrawala

H-Index: 47

Agqa: A benchmark for compositional spatio-temporal reasoning

2021

Madeleine Grunde-Mclaughlin
Madeleine Grunde-Mclaughlin

H-Index: 1

Ranjay Krishna
Ranjay Krishna

H-Index: 19

Maneesh Agrawala
Maneesh Agrawala

H-Index: 47

Bayesian-assisted inference from visualized data

IEEE Transactions on Visualization and Computer Graphics

2020/10/7

Yea-Seul Kim
Yea-Seul Kim

H-Index: 9

Madeleine Grunde-Mclaughlin
Madeleine Grunde-Mclaughlin

H-Index: 1

Jessica Hullman
Jessica Hullman

H-Index: 22

See List of Professors in Madeleine Grunde-McLaughlin University(University of Pennsylvania)

Co-Authors

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