David Wingate

David Wingate

Brigham Young University

H-index: 29

North America-United States

About David Wingate

David Wingate, With an exceptional h-index of 29 and a recent h-index of 21 (since 2020), a distinguished researcher at Brigham Young University, specializes in the field of Language models, deep learning, machine learning.

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

Out of one, many: Using language models to simulate human samples

Towards coding social science datasets with language models

Religious exemplars’ experience of indebtedness to God: Employing innovative machine learning to explore a novel construct

Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale

A probabilistic view of protein stability, conformational specificity, and design

Prompt compression and contrastive conditioning for controllability and toxicity reduction in language models

An information-theoretic approach to prompt engineering without ground truth labels

Using first principles for deep learning and model-based control of soft robots

David Wingate Information

University

Position

Assistant professor of Computer Science

Citations(all)

3219

Citations(since 2020)

1938

Cited By

1591

hIndex(all)

29

hIndex(since 2020)

21

i10Index(all)

57

i10Index(since 2020)

42

Email

University Profile Page

Brigham Young University

Google Scholar

View Google Scholar Profile

David Wingate Skills & Research Interests

Language models

deep learning

machine learning

Top articles of David Wingate

Title

Journal

Author(s)

Publication Date

Out of one, many: Using language models to simulate human samples

Political Analysis

Lisa P Argyle

Ethan C Busby

Nancy Fulda

Joshua R Gubler

Christopher Rytting

...

2023/7

Towards coding social science datasets with language models

arXiv preprint arXiv:2306.02177

Christopher Michael Rytting

Taylor Sorensen

Lisa Argyle

Ethan Busby

Nancy Fulda

...

2023/6/3

Religious exemplars’ experience of indebtedness to God: Employing innovative machine learning to explore a novel construct

The Journal of Positive Psychology

Jenae M Nelson

Justin J Hendricks

Jocelyn C Cazier

Sam A Hardy

David Wingate

2023/3/17

Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale

Proceedings of the National Academy of Sciences

Lisa P Argyle

Christopher A Bail

Ethan C Busby

Joshua R Gubler

Thomas Howe

...

2023/10/10

A probabilistic view of protein stability, conformational specificity, and design

Scientific Reports

Jacob A Stern

Tyler J Free

Kimberlee L Stern

Spencer Gardiner

Nicholas A Dalley

...

2023/9/19

Prompt compression and contrastive conditioning for controllability and toxicity reduction in language models

arXiv preprint arXiv:2210.03162

David Wingate

Mohammad Shoeybi

Taylor Sorensen

2022/10/6

An information-theoretic approach to prompt engineering without ground truth labels

arXiv preprint arXiv:2203.11364

Taylor Sorensen

Joshua Robinson

Christopher Michael Rytting

Alexander Glenn Shaw

Kyle Jeffrey Rogers

...

2022/3/21

Using first principles for deep learning and model-based control of soft robots

Frontiers in Robotics and AI

Curtis C Johnson

Tyler Quackenbush

Taylor Sorensen

David Wingate

Marc D Killpack

2021/5/4

Leveraging the inductive bias of large language models for abstract textual reasoning

Advances in Neural Information Processing Systems

Christopher Rytting

David Wingate

2021/12/6

Towards neural programming interfaces

Advances in Neural Information Processing Systems

Zachary Brown

Nathaniel Robinson

David Wingate

Nancy Fulda

2020

Focused capacitive sensing

2020/6/16

ProSPr: Protein Structure Prediction via Interatomic Distances

Bulletin of the American Physical Society

Wendy Billings

Bryce Hedelius

Todd Millecam

David Wingate

Dennis Della Corte

2020/3/5

Portless and membrane-free microphone

2020/1/28

Human-robot co-manipulation of extended objects: Data-driven models and control from analysis of human-human dyads

arXiv preprint arXiv:2001.00991

Erich Mielke

Eric Townsend

David Wingate

Marc D Killpack

2020/1/3

See List of Professors in David Wingate University(Brigham Young University)

Co-Authors

H-index: 137
Joshua B. Tenenbaum

Joshua B. Tenenbaum

Massachusetts Institute of Technology

H-index: 93
Michael Littman

Michael Littman

Brown University

H-index: 82
Nicholas Roy

Nicholas Roy

Massachusetts Institute of Technology

H-index: 77
Satinder Singh

Satinder Singh

University of Michigan-Dearborn

H-index: 76
Noah D. Goodman

Noah D. Goodman

Stanford University

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