Taylor Sorensen

Researcher, humans&

Joined

November 2021

Names

Taylor Sorensen (Preferred)

Emails

****@gmail.com (Confirmed)

****@byu.edu (Confirmed)

****@cs.washington.edu (Confirmed)

****@stanford.edu (Confirmed)

****@humansand.ai (Confirmed)

Personal Links

Career & Education History

Researcher

humans& (humansand.ai)

2025 – Present

PhD student

Computer Science, Stanford University (stanford.edu)

2025 – 2025

Intern

Google DeepMind (deepmind.com)

2024 – 2025

PhD student

University of Washington (uw.edu)

2022 – 2025

MS student

Brigham Young University (byu.edu)

2021 – 2022

Undergrad student

Brigham Young University (byu.edu)

2015 – 2021

Advisors, Relations & Conflicts

PhD Advisor

Yejin Choi

2022 – 2025

PhD Advisor

David Wingate

2020 – 2022

Expertise

Natural Language Processing

prompt engineering

applied nlp

machine learning

2020 – 2021

reinforcement learning

soft robotics

computer vision

2019 – 2021

Publications

EVALUESTEER: Measuring Reward Model Steerability Towards Values and Preferences
Kshitish Ghate, Andy Liu, Devansh Jain, Taylor Sorensen, Atoosa Kasirzadeh, Aylin Caliskan, Mona T. Diab, Maarten Sap
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability
Taylor Sorensen, Benjamin Newman, Jared Moore, Chan Young Park, Jillian Fisher, Niloofar Mireshghallah, Liwei Jiang, Yejin Choi
- ICLR 2026 Poster
- Readers: Everyone
Benchmarking Overton Pluralism in LLMs
Elinor Poole-Dayan, Jiayi Wu, Taylor Sorensen, Jiaxin Pei, Michiel A. Bakker
- ICLR 2026 Poster
- Readers: Everyone
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
- Readers: Everyone
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
- CoRR 2025
- Readers: Everyone
Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models
Abhilasha Ravichander, Jillian Fisher, Taylor Sorensen, Ximing Lu, Yuchen Lin, Maria Antoniak, Niloofar Mireshghallah, Chandra Bhagavatula, Yejin Choi
- CoRR 2025
- Readers: Everyone
Position: Political Neutrality in AI Is Impossible — But Here Is How to Approximate It
Jillian Fisher, Ruth Elisabeth Appel, Chan Young Park, Yujin Potter, Liwei Jiang, Taylor Sorensen, Shangbin Feng, Yulia Tsvetkov, Margaret Roberts, Jennifer Pan, Dawn Song, Yejin Choi
- ICML 2025 Position Paper Track oral
- Readers: Everyone
Investigating machine moral judgement through the Delphi experiment
Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jenny T. Liang, Sydney Levine, Jesse Dodge, Keisuke Sakaguchi, Maxwell Forbes, Jack Hessel, Jonathan Borchardt, Taylor Sorensen, Saadia Gabriel, Yulia Tsvetkov, Oren Etzioni, Maarten Sap, Regina Rini, Yejin Choi
- Nat. Mac. Intell. 2025
- Readers: Everyone
Can Language Models Reason about Individualistic Human Values and Preferences?
Liwei Jiang, Taylor Sorensen, Sydney Levine, Yejin Choi
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
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
- ICML 2024 Poster
- Readers: Everyone

View all 32 publications

Co-Authors

View all 211 co-authors