Mark Steyvers

Mark Steyvers

University of California, Irvine

H-index: 60

North America-United States

About Mark Steyvers

Mark Steyvers, With an exceptional h-index of 60 and a recent h-index of 40 (since 2020), a distinguished researcher at University of California, Irvine, specializes in the field of cognitive science, machine learning, learning, human AI collaboration.

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

The Calibration Gap between Model and Human Confidence in Large Language Models

How experts and novices judge other people’s knowledgeability from language use

How do you know that you don’t know?

Bayesian Online Learning for Consensus Prediction

Large language models are latent variable models: Explaining and finding good demonstrations for in-context learning

Hybrid forecasting of geopolitical events†

Large language models are implicitly topic models: Explaining and finding good demonstrations for in-context learning

Older Adults Catch Up to Younger Adults on Cognitive Tasks After Extended Training

Mark Steyvers Information

University

Position

___

Citations(all)

30818

Citations(since 2020)

10091

Cited By

25151

hIndex(all)

60

hIndex(since 2020)

40

i10Index(all)

126

i10Index(since 2020)

98

Email

University Profile Page

University of California, Irvine

Google Scholar

View Google Scholar Profile

Mark Steyvers Skills & Research Interests

cognitive science

machine learning

learning

human AI collaboration

Top articles of Mark Steyvers

Title

Journal

Author(s)

Publication Date

The Calibration Gap between Model and Human Confidence in Large Language Models

arXiv preprint arXiv:2401.13835

Mark Steyvers

Heliodoro Tejeda

Aakriti Kumar

Catarina Belem

Sheer Karny

...

2024/1/24

How experts and novices judge other people’s knowledgeability from language use

Psychonomic Bulletin & Review

Alexander H Bower

Nicole Han

Ansh Soni

Miguel P Eckstein

Mark Steyvers

2024/1/4

How do you know that you don’t know?

Cognitive Systems Research

Quentin F Gronau

Mark Steyvers

Scott D Brown

2024/8/1

Bayesian Online Learning for Consensus Prediction

Samuel Showalter

Alex J Boyd

Padhraic Smyth

Mark Steyvers

2024/4/18

Large language models are latent variable models: Explaining and finding good demonstrations for in-context learning

Advances in Neural Information Processing Systems

Xinyi Wang

Wanrong Zhu

Michael Saxon

Mark Steyvers

William Yang Wang

2024/2/13

Hybrid forecasting of geopolitical events†

AI Magazine

Daniel M Benjamin

Fred Morstatter

Ali E Abbas

Andres Abeliuk

Pavel Atanasov

...

2023/3

Large language models are implicitly topic models: Explaining and finding good demonstrations for in-context learning

NeurIPS 2023

Xinyi Wang

Wanrong Zhu

William Yang Wang

2023/1/27

Older Adults Catch Up to Younger Adults on Cognitive Tasks After Extended Training

Collabra: Psychology

Priyam Das

Mark Steyvers

2023/1/3

How Displaying AI Confidence Affects Reliance and Hybrid Human-AI Performance

HHAI 2023: Augmenting Human Intellect: Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence

P Lukowicz

2023/7/7

Help me help you: A computational model for goal inference and action planning

Proceedings of the Annual Meeting of the Cognitive Science Society

Abhilasha Kumar

Mark Steyvers

2023

Jointly modeling behavioral and EEG measures of proactive control in task switching

Psychophysiology

Frini Karayanidis

Guy E Hawkins

Aaron SW Wong

Fayeem Aziz

Montana Hunter

...

2023/7

Building and benchmarking the motivated deception corpus: Improving the quality of deceptive text through gaming

Behavior Research Methods

Dan Barsever

Mark Steyvers

Emre Neftci

2023/12

Three challenges for ai-assisted decision-making

Perspectives on Psychological Science

Mark Steyvers

Aakriti Kumar

2023/1

Capturing Humans’ mental models of AI: An item response theory approach

Markelle Kelly

Aakriti Kumar

Padhraic Smyth

Mark Steyvers

2023/6/12

Linking computational models of two core tasks of cognitive control.

Psychological review

Maria M Robinson

Mark Steyvers

2023/1

Teaching categories via examples and explanations

Cognition

Arseny Moskivchev

Roman Tikhonov

Mark Steyvers

2023/9/1

When Do Drivers Intervene In Autonomous Driving?

Aakriti Kumar

Kumar Akash

Shashank Mehrotra

Teruhisa Misu

Mark Steyvers

2023/3/13

Differentiating mental models of self and others: A hierarchical framework for knowledge assessment.

Psychological Review

Aakriti Kumar

Padhraic Smyth

Mark Steyvers

2023/8/17

Comparing models of learning and relearning in large-scale cognitive training data sets

npj Science of Learning

Aakriti Kumar

Aaron S Benjamin

Andrew Heathcote

Mark Steyvers

2022/10/4

Bayesian modeling of human–AI complementarity

Proceedings of the National Academy of Sciences

Mark Steyvers

Heliodoro Tejeda

Gavin Kerrigan

Padhraic Smyth

2022/3/15

See List of Professors in Mark Steyvers University(University of California, Irvine)

Co-Authors

H-index: 137
Joshua B. Tenenbaum

Joshua B. Tenenbaum

Massachusetts Institute of Technology

H-index: 114
Eric-Jan Wagenmakers

Eric-Jan Wagenmakers

Universiteit van Amsterdam

H-index: 110
Thomas L. Griffiths

Thomas L. Griffiths

Princeton University

H-index: 87
Padhraic Smyth

Padhraic Smyth

University of California, Irvine

H-index: 81
David C Atkins

David C Atkins

University of Washington

H-index: 73
Robert Goldstone

Robert Goldstone

Indiana University Bloomington

academic-engine