Jillian Fisher

PhD student, Statistics, University of Washington

Joined

May 2023

Names

Jillian Fisher (Preferred)

Emails

****@uw.edu (Confirmed)

Personal Links

Career & Education History

PhD student

Statistics, University of Washington (uw.edu)

2020 – Present

Advisors, Relations & Conflicts

PhD Advisor

Yejin Choi

2021 – 2026

PhD Advisor

Thomas Richardson

2021 – 2026

Expertise

alignment

NLP

AI Ethics

AI Political Neutrality

2023 – 2025

Influence functions

2021 – 2023

Publications

Beyond Similarity for Personalization: User Memory Selection via Response-Utility Optimization
Jillian Fisher, Jennifer Neville, Chan Young Park
- Submitted to ICLR 2026
- 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
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
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
The Generative AI Paradox: “What It Can Create, It May Not Understand”
Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi
- ICLR 2024 poster
- Readers: Everyone
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi
- EMNLP 2023 Main
- Readers: Everyone
Influence Diagnostics under Self-concordance
Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zaïd Harchaoui
- Published: 01 Jan 2023, Last Modified: 16 Oct 2023
- AISTATS 2023
- Readers: Everyone
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Lianhui Qin, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Xiang Ren, Sean Welleck, Yejin Choi
- Published: 01 Jan 2023, Last Modified: 16 Oct 2023
- CoRR 2023
- Readers: Everyone
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
- Published: 01 Jan 2023, Last Modified: 16 Oct 2023
- CoRR 2023
- Readers: Everyone
Statistical and Computational Guarantees for Influence Diagnostics
Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zaïd Harchaoui
- 2022 (modified: 25 Apr 2023)
- CoRR 2022
- Readers: Everyone

Co-Authors

View all 40 co-authors