Taylor Sorensen

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Ad Hoc Information Retrieval

Symbolic Knowledge

Language Modelling

Top Venues

EMNLP (Findings)

Frontiers Robotics AI

Publications

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 (2024)
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)
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)
Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration. CoRR (2024)
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 (2024)
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 (2023)
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 (2023)
Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. CoRR (2023)
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 (2023)
Peter West, Ronan Le Bras, Taylor Sorensen, Bill Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. EMNLP (Findings) (2023)
David Wingate, Mohammad Shoeybi, Taylor Sorensen
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models. CoRR (2022)
David Wingate, Mohammad Shoeybi, Taylor Sorensen
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models. EMNLP (Findings) (2022)
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)
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 (2022)
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 (2021)