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Christopher Michael Rytting
Christopher Michael Rytting
Postdoctoral Scholar, University of Washington
Verified email at cs.washington.edu - Homepage
Title
Cited by
Cited by
Year
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
2842023
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
1132022
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
262023
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
182021
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
122023
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
102023
Nouha Dziri, et al. 2024. A roadmap to pluralistic alignment
T Sorensen, J Moore, J Fisher, M Gordon, N Mireshghallah, CM Rytting, ...
arXiv preprint arXiv:2402.05070, 2024
72024
A Roadmap to Pluralistic Alignment
T Sorensen, J Moore, J Fisher, M Gordon, N Mireshghallah, CM Rytting, ...
arXiv preprint arXiv:2402.05070, 2024
52024
Leveraging large language models for multiple choice question answering. arXiv 2022
J Robinson, CM Rytting, D Wingate
arXiv preprint arXiv:2210.12353, 2022
52022
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
22024
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, ...
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