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:

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

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

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

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

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

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

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

Google Scholar

David Wingate Skills & Research Interests

Language models

deep learning

machine learning

Top articles of David Wingate

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

Proceedings of the National Academy of Sciences

2023/10/10

Taylor Sorensen
Taylor Sorensen

H-Index: 4

David Wingate
David Wingate

H-Index: 19

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

Scientific Reports

2023/9/19

David Wingate
David Wingate

H-Index: 19

Dennis Della Corte
Dennis Della Corte

H-Index: 4

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

Political Analysis

2023/7

Nancy Fulda
Nancy Fulda

H-Index: 5

David Wingate
David Wingate

H-Index: 19

Towards coding social science datasets with language models

arXiv preprint arXiv:2306.02177

2023/6/3

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

The Journal of Positive Psychology

2023/3/17

Sam A Hardy
Sam A Hardy

H-Index: 32

David Wingate
David Wingate

H-Index: 19

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

arXiv preprint arXiv:2210.03162

2022/10/6

David Wingate
David Wingate

H-Index: 19

Taylor Sorensen
Taylor Sorensen

H-Index: 4

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

arXiv preprint arXiv:2203.11364

2022/3/21

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

Advances in Neural Information Processing Systems

2021/12/6

David Wingate
David Wingate

H-Index: 19

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

Frontiers in Robotics and AI

2021/5/4

Focused capacitive sensing

2020/6/16

ProSPr: Protein Structure Prediction via Interatomic Distances

Bulletin of the American Physical Society

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

2020/1/3

David Wingate
David Wingate

H-Index: 19

Towards neural programming interfaces

Advances in Neural Information Processing Systems

2020

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

Co-Authors

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