Wingate, David
Brigham Young University
9 papers on CoChatORCID 0000-0003-1850-6926
Most cited papers
- Verified
Out of One, Many: Using Language Models to Simulate Human Samples
Argyle, L. P., Busby, E. C., Fulda, N., Gubler, J. R., Rytting, C., & Wingate, D. (2023) · Political Analysis
Ethics and Social Impacts of AIComputational and Text Analysis Methods
Cited by 783
- Verified
Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale
Argyle, L. P., Bail, C. A., Busby, E. C., Gubler, J. R., Howe, T., Rytting, C., Sorensen, T., & Wingate, D. (2023) · Proceedings of the National Academy of Sciences
Social Media and PoliticsMisinformation and Its Impacts
Cited by 144
- Verified
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels
Sorensen, T., Robinson, J., Rytting, C., Shaw, A., Rogers, K., Delorey, A., Khalil, M., Fulda, N., & Wingate, D. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 113
- Verified
Testing theories of political persuasion using AI
Argyle, L. P., Busby, E. C., Gubler, J. R., Lyman, A., Olcott, J., Pond, J., & Wingate, D. (2025) · Proceedings of the National Academy of Sciences
Electoral Systems and Political ParticipationOpinion Dynamics and Social Influence
Cited by 53
- Verified
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models
Wingate, D., Shoeybi, M., & Sorensen, T. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022
Topic ModelingNatural Language Processing Techniques
Cited by 26
- Verified
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models
Wingate, D., Shoeybi, M., & Sorensen, T. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 26
- Verified
Towards Coding Social Science Datasets with Language Models
Rytting, C. M., Sorensen, T., Argyle, L., Busby, E., Fulda, N., Gubler, J., & Wingate, D. (2023) · arXiv
Computational and Text Analysis MethodsArtificial Intelligence in Law
Cited by 18
- Verified · note
Generative AI applied to AAC for aphasia: a pilot study of Aphasia-GPT
Bailey, D. J., Herget, F., Hansen, D., Burton, F., Pitt, G., Harmon, T., & Wingate, D. (2026) · Aphasiology
Assistive Technology in Communication and MobilityVoice and Speech Disorders
Cited by 13
- Verified
A probabilistic view of protein stability, conformational specificity, and design
Stern, J. A., Free, T. J., Stern, K. L., Gardiner, S., Dalley, N. A., Bundy, B. C., Price, J. L., Wingate, D., & Della Corte, D. (2023) · Scientific Reports
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 10
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