Taylor Sorensen

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Yejin ChoiStanford University / NVIDIAVerified email at stanford.edu
Liwei JiangCS PhD @ University of WashingtonVerified email at cs.washington.edu
David WingateAssociate professor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu
Christopher Michael RyttingPostdoctoral Scholar, University of WashingtonVerified email at cs.washington.edu
Jillian FisherUniversity of WashingtonVerified email at uw.edu
Ximing LuUniversity of WashingtonVerified email at cs.washington.edu
Nouha DziriAllen Institute for AI (Ai2)Verified email at allenai.org
Jena D. HwangAllen Institute for AIVerified email at allenai.org
Niloofar (Fatemeh) MireshghallahPostdoctoral scholar, University of WashingtonVerified email at cs.washington.edu
Joshua R. GublerAssociate Professor, Department of Political Science, Brigham Young UniversityVerified email at byu.edu
Ethan C. BusbyAssistant Professor, Brigham Young UniversityVerified email at byu.edu
Chandra BhagavatulaAllen Institute for Artificial IntelligenceVerified email at allenai.org
Nancy FuldaBrigham Young UniversityVerified email at cs.byu.edu
Sydney LevineResearch Scientist, Allen Institute for AI (Research Affiliate: Harvard & MIT)Verified email at mit.edu
Jared MooreStanford UniversityVerified email at jaredmoore.org
Andre YeUniversity of WashingtonVerified email at uw.edu
Lisa P. ArgyleAssistant Professor of Political Science, Brigham Young UniversityVerified email at byu.edu
Thomas Vincent HoweBrigham Young UniversityVerified email at byu.edu
Christopher BailProfessor of Sociology and Public Policy, Duke UniversityVerified email at duke.edu
Valentina PyatkinAllen Institute for AI & University of WashingtonVerified email at allenai.org

Taylor Sorensen

CS PhD @ University of Washington

Verified email at cs.washington.edu - Homepage

Natural Language Processing Artificial Intelligence AI for Social Good


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An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels T Sorensen, J Robinson, CM Rytting, AG Shaw, KJ Rogers, AP Delorey, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022	169	2022
A Roadmap to Pluralistic Alignment T Sorensen, J Moore, J Fisher, M Gordon, N Mireshghallah, CM Rytting, ... The Forty-first International Conference on Machine Learning (ICML), 2024	122	2024
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, ... Proceedings of the National Academy of Sciences 120 (41), e2311627120, 2023	99	2023
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties T Sorensen, L Jiang, J Hwang, S Levine, V Pyatkin, P West, N Dziri, X Lu, ... Proceedings of the AAAI Conference on Artificial Intelligence, 38, 2023	90*	2023
Nl-augmenter: A framework for task-sensitive natural language augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... arXiv preprint arXiv:2112.02721, 2021	80	2021
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models D Wingate, M Shoeybi, T Sorensen Findings of the Association for Computational Linguistics: EMNLP 2022, 2022	71	2022
Using first principles for deep learning and model-based control of soft robots CC Johnson, T Quackenbush, T Sorensen, D Wingate, MD Killpack Frontiers in Robotics and AI 8, 654398, 2021	48	2021
Modular pluralism: Pluralistic alignment via multi-llm collaboration S Feng, T Sorensen, Y Liu, J Fisher, CY Park, Y Choi, Y Tsvetkov arXiv preprint arXiv:2406.15951, 2024	23	2024
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	22	2023
Culture-gen: Revealing global cultural perception in language models through natural language prompting H Li, L Jiang, JD Hwang, H Kim, S Santy, T Sorensen, BY Lin, N Dziri, ... arXiv preprint arXiv:2404.10199, 2024	16	2024
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation P West, RL Bras, T Sorensen, BY Lin, L Jiang, X Lu, K Chandu, J Hessel, ... Findings of the Association for Computational Linguistics: EMNLP, 2023	9	2023
Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model J Jung, P West, L Jiang, F Brahman, X Lu, J Fisher, T Sorensen, Y Choi Proceedings of the 2024 Conference of the North American Chapter of the …, 2024	8*	2024
Can Language Models Reason about Individualistic Human Values and Preferences? L Jiang, T Sorensen, S Levine, Y Choi arXiv preprint arXiv:2410.03868, 2024	4	2024
Investigating machine moral judgement through the Delphi experiment L Jiang, JD Hwang, C Bhagavatula, RL Bras, JT Liang, S Levine, J Dodge, ... Nature Machine Intelligence, 1-16, 2025	3	2025
Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models A Ravichander, J Fisher, T Sorensen, X Lu, Y Lin, M Antoniak, ... arXiv preprint arXiv:2503.12072, 2025		2025
Political Neutrality in AI is Impossible-But Here is How to Approximate it J Fisher, RE Appel, CY Park, Y Potter, L Jiang, T Sorensen, S Feng, ... arXiv preprint arXiv:2503.05728, 2025		2025

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