NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - 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; et al. (CoRR, 2021)

Using First Principles for Deep Learning and Model-Based Control of Soft Robots. - Curtis C. Johnson; Tyler Quackenbush; Taylor Sorensen; David Wingate; Marc D. Killpack (Frontiers Robotics AI, 2021)

An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels. - Taylor Sorensen; Joshua Robinson; Christopher Michael Rytting; Alexander Glenn Shaw; Kyle Jeffrey Rogers; Alexia Pauline Delorey; Mahmoud Khalil; Nancy Fulda; David Wingate (ACL (1), 2022)

Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models. - David Wingate; Mohammad Shoeybi; Taylor Sorensen (EMNLP (Findings), 2022)

NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. - Peter West; Ronan Le Bras 001; Taylor Sorensen; Bill Yuchen Lin; Liwei Jiang; Ximing Lu; Khyathi Raghavi Chandu; Jack Hessel; Ashutosh Baheti; Chandra Bhagavatula; Yejin Choi 001 (EMNLP (Findings), 2023)

Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing. - Jaehun Jung; Peter West; Liwei Jiang; Faeze Brahman; Ximing Lu; Jillian Fisher; Taylor Sorensen; Yejin Choi 001 (CoRR, 2023)

Towards Coding Social Science Datasets with Language Models. - Christopher Michael Rytting; Taylor Sorensen; Lisa P. Argyle; Ethan C. Busby; Nancy Fulda; Joshua Gubler; David Wingate (CoRR, 2023)

Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. - 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; et al. (AAAI, 2024)

Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration. - Shangbin Feng; Taylor Sorensen; Yuhan Liu; Jillian Fisher; Chan Young Park; Yejin Choi 001; Yulia Tsvetkov (EMNLP, 2024)

Position: A Roadmap to Pluralistic Alignment. - 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 001 (ICML, 2024)

Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model. - Jaehun Jung; Peter West; Liwei Jiang; Faeze Brahman; Ximing Lu; Jillian Fisher; Taylor Sorensen; Yejin Choi 001 (NAACL-HLT, 2024)

A Roadmap to Pluralistic Alignment. - 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 001 (CoRR, 2024)

CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting. - Huihan Li 001; Liwei Jiang; Jena D. Huang; Hyunwoo Kim 002; Sebastin Santy; Taylor Sorensen; Bill Yuchen Lin; Nouha Dziri; Xiang Ren 001; Yejin Choi 001 (CoRR, 2024)

Can Language Models Reason about Individualistic Human Values and Preferences? - Liwei Jiang; Taylor Sorensen; Sydney Levine; Yejin Choi 001 (ACL (1), 2025)

Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models. - Abhilasha Ravichander; Jillian Fisher; Taylor Sorensen; Ximing Lu; Maria Antoniak; Bill Yuchen Lin; Niloofar Mireshghallah; Chandra Bhagavatula; Yejin Choi 001 (NAACL (Long Papers), 2025)

Investigating machine moral judgement through the Delphi experiment. - Liwei Jiang; Jena D. Hwang; Chandra Bhagavatula; Ronan Le Bras 001; Jenny T. Liang; Sydney Levine; Jesse Dodge; Keisuke Sakaguchi; Maxwell Forbes; Jack Hessel; Jonathan Borchardt; Taylor Sorensen; et al. (Nat. Mac. Intell., 2025)

Political Neutrality in AI is Impossible- But Here is How to Approximate it. - Jillian Fisher; Ruth E. Appel; Chan Young Park; Yujin Potter; Liwei Jiang; Taylor Sorensen; Shangbin Feng; Yulia Tsvetkov; Margaret E. Roberts; Jennifer Pan; Dawn Song; Yejin Choi 001 (CoRR, 2025)

Value Profiles for Encoding Human Variation. - Taylor Sorensen; Pushkar Mishra; Roma Patel; Michael Henry Tessler; Michiel A. Bakker; Georgina Evans; Iason Gabriel; Noah D. Goodman; Verena Rieser (CoRR, 2025)