| Out of one, many: Using language models to simulate human samples LP Argyle, EC Busby, N Fulda, JR Gubler, C Rytting, D Wingate Political Analysis 31 (3), 337-351, 2023 | 320 | 2023 |
| An information-theoretic approach to prompt engineering without ground truth labels T Sorensen, J Robinson, CM Rytting, AG Shaw, KJ Rogers, AP Delorey, ... arXiv preprint arXiv:2203.11364, 2022 | 116 | 2022 |
| Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale LP Argyle, CA Bail, EC Busby, JR Gubler, T Howe, C Rytting, T Sorensen, ... Proceedings of the National Academy of Sciences 120 (41), e2311627120, 2023 | 29 | 2023 |
| A roadmap to pluralistic alignment T Sorensen, J Moore, J Fisher, M Gordon, N Mireshghallah, CM Rytting, ... arXiv preprint arXiv:2402.05070, 2024 | 23 | 2024 |
| Leveraging the inductive bias of large language models for abstract textual reasoning C Rytting, D Wingate Advances in Neural Information Processing Systems 34, 17111-17122, 2021 | 18 | 2021 |
| Ai chat assistants can improve conversations about divisive topics LP Argyle, E Busby, J Gubler, C Bail, T Howe, C Rytting, D Wingate arXiv preprint arXiv:2302.07268, 2023 | 12 | 2023 |
| Towards coding social science datasets with language models CM Rytting, T Sorensen, L Argyle, E Busby, N Fulda, J Gubler, D Wingate arXiv preprint arXiv:2306.02177, 2023 | 11 | 2023 |
| Leveraging large language models for multiple choice question answering. arXiv 2022 J Robinson, CM Rytting, D Wingate arXiv preprint arXiv:2210.12353, 2022 | 4 | 2022 |
| IMBUE: improving interpersonal effectiveness through simulation and just-in-time feedback with human-language model interaction IW Lin, A Sharma, CM Rytting, AS Miner, J Suh, T Althoff arXiv preprint arXiv:2402.12556, 2024 | 3 | 2024 |
| IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction I Wanyin Lin, A Sharma, CM Rytting, AS Miner, J Suh, T Althoff arXiv e-prints, arXiv: 2402.12556, 2024 | | 2024 |
| Algorithmic Fidelity and the use of Large Language Models in Social Science Research CM Rytting Brigham Young University, 2023 | | 2023 |
| Leveraging large language models for multiple choice question answering J Robinson, CM Rytting, D Wingate arXiv preprint arXiv:2210.12353, 2022 | | 2022 |
| Position: A Roadmap to Pluralistic Alignment T Sorensen, J Moore, J Fisher, ML Gordon, N Mireshghallah, CM Rytting, ... Forty-first International Conference on Machine Learning, 0 | | |
| Supplementary Materials: Leveraging Artificial Intelligence for Democratic Discourse: Chat Interventions can Improve Online Political Conversations at Scale LP Argyle, C Bail, EC Busby, J Gubler, T Howe, C Rytting, T Sorensen, ... | | |
David WingateAssociate professor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu
