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Taylor Sorensen
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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
1032022
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
642021
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
272022
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
252021
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
192023
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
102023
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
72023
Impossible distillation: from low-quality model to high-quality dataset & model for summarization and paraphrasing
J Jung, P West, L Jiang, F Brahman, X Lu, J Fisher, T Sorensen, Y Choi
arXiv preprint arXiv:2305.16635, 2023
62023
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
42023
A Roadmap to Pluralistic Alignment
T Sorensen, J Moore, J Fisher, M Gordon, N Mireshghallah, CM Rytting, ...
arXiv preprint arXiv:2402.05070, 2024
32024
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