Addison J. Wu

Undergrad student, Computer Science, Princeton University

Joined

September 2024

Names

Addison J. Wu (Preferred)

Emails

****@princeton.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Undergrad student

Computer Science, Princeton University (princeton.edu)

2023 – Present

Advisors, Relations & Conflicts

Advisor

Zhuang Liu

2026 – Present

Advisor

Thomas L. Griffiths

2024 – Present

Expertise

No areas of expertise listed

Publications

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest
Addison J. Wu, Ryan Liu, Shuyue Stella Li, Yulia Tsvetkov, Thomas L. Griffiths
- AFAA 2026 Poster
- Readers: Everyone
Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest
Addison J. Wu, Ryan Liu, Shuyue Stella Li, Yulia Tsvetkov, Thomas L. Griffiths
- ICLR 2026 AIWILD
- Readers: Everyone
Query Timing Produces Opposite Positional Biases Between LLMs and Humans
Jasin Cekinmez, Addison J. Wu, Thomas L. Griffiths
- ICLR 2026 Workshop ICBINB
- Readers: Everyone
Large Language Models Develop Novel Social Biases Through Adaptive Exploration
Addison J. Wu, Ryan Liu, Xuechunzi Bai, Thomas L. Griffiths
- Submitted to ICLR 2026
- Readers: Everyone
Large Language Models Develop Novel Social Biases Through Adaptive Exploration
Addison J. Wu, Ryan Liu, Xuechunzi Bai, Thomas L. Griffiths
- MTI-LLM @ NeurIPS 2025 Poster
- Readers: Everyone
Are Large Language Models Sensitive to the Motives Behind Communication?
Addison J. Wu, Ryan Liu, Kerem Oktar, Theodore Sumers, Thomas L. Griffiths
- NeurIPS 2025 poster
- Readers: Everyone
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
Ryan Liu, Jiayi Geng, Addison J. Wu, Ilia Sucholutsky, Tania Lombrozo, Thomas L. Griffiths
- ICML 2025 poster
- Readers: Everyone
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
Ryan Liu, Jiayi Geng, Addison J. Wu, Ilia Sucholutsky, Tania Lombrozo, Thomas L. Griffiths
- Submitted to ICLR 2025
- Readers: Everyone