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Journal Articles
- 2021
[j1]Curtis C. Johnson
, Tyler Quackenbush, Taylor Sorensen, David Wingate, Marc D. Killpack:
Using First Principles for Deep Learning and Model-Based Control of Soft Robots. Frontiers Robotics AI 8: 654398 (2021)
Conference and Workshop Papers
- 2024
- [c7]Taylor Sorensen, Liwei Jiang, Jena D. Hwang, Sydney Levine, Valentina Pyatkin, Peter West, Nouha Dziri, Ximing Lu, Kavel Rao, Chandra Bhagavatula, Maarten Sap, John Tasioulas, Yejin Choi:
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. AAAI 2024: 19937-19947 - [c6]Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov:
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration. EMNLP 2024: 4151-4171 - [c5]Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell L. Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi:
Position: A Roadmap to Pluralistic Alignment. ICML 2024 - [c4]Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi:
Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model. NAACL-HLT 2024: 4439-4454 - 2023
- [c3]Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Raghavi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi:
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. EMNLP (Findings) 2023: 1127-1149 - 2022
- [c2]Taylor Sorensen, Joshua Robinson, Christopher Michael Rytting, Alexander Glenn Shaw, Kyle Jeffrey Rogers, Alexia Pauline Delorey, Mahmoud Khalil, Nancy Fulda, David Wingate:
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels. ACL (1) 2022: 819-862 - [c1]David Wingate, Mohammad Shoeybi, Taylor Sorensen:
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models. EMNLP (Findings) 2022: 5621-5634
Informal and Other Publications
- 2024
- [i11]Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell L. Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi:
A Roadmap to Pluralistic Alignment. CoRR abs/2402.05070 (2024) - [i10]Huihan Li, Liwei Jiang, Jena D. Huang, Hyunwoo Kim, Sebastin Santy, Taylor Sorensen, Bill Yuchen Lin, Nouha Dziri, Xiang Ren, Yejin Choi:
CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting. CoRR abs/2404.10199 (2024) - [i9]Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov:
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration. CoRR abs/2406.15951 (2024) - [i8]Liwei Jiang, Taylor Sorensen, Sydney Levine, Yejin Choi:
Can Language Models Reason about Individualistic Human Values and Preferences? CoRR abs/2410.03868 (2024) - 2023
- [i7]Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi:
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing. CoRR abs/2305.16635 (2023) - [i6]Christopher Michael Rytting, Taylor Sorensen, Lisa P. Argyle, Ethan C. Busby, Nancy Fulda, Joshua Gubler, David Wingate:
Towards Coding Social Science Datasets with Language Models. CoRR abs/2306.02177 (2023) - [i5]Taylor Sorensen, Liwei Jiang, Jena D. Hwang, Sydney Levine, Valentina Pyatkin, Peter West, Nouha Dziri, Ximing Lu, Kavel Rao, Chandra Bhagavatula, Maarten Sap, John Tasioulas, Yejin Choi:
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. CoRR abs/2309.00779 (2023) - [i4]Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Raghavi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi:
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. CoRR abs/2312.05979 (2023) - 2022
- [i3]Taylor Sorensen, Joshua Robinson, Christopher Michael Rytting, Alexander Glenn Shaw, Kyle Jeffrey Rogers, Alexia Pauline Delorey, Mahmoud Khalil, Nancy Fulda, David Wingate:
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels. CoRR abs/2203.11364 (2022) - [i2]David Wingate, Mohammad Shoeybi, Taylor Sorensen:
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models. CoRR abs/2210.03162 (2022) - 2021
- [i1]Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang:
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR abs/2112.02721 (2021)
Coauthor Index
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