Jared Moore

According to our database, Jared Moore authored at least 25 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Verbalizing LLMs' assumptions to explain and control sycophancy.

Myra Cheng, Isabel Sieh, Humishka Zope, Sunny Yu, Lujain Ibrahim, Aryaman Arora, Jared Moore, Desmond C. Ong, Dan Jurafsky, Diyi Yang

CoRR, April, 2026

Characterizing Delusional Spirals through Human-LLM Chat Logs.

Jared Moore, Ashish Mehta, William Agnew, Jacy Reese Anthis, Ryan Louie, Yifan Mai, Peggy Yin, Myra Cheng, Samuel J. Paech, Kevin Klyman, Stevie Chancellor, Eric Lin, Nick Haber, Desmond C. Ong

CoRR, March, 2026

Large Language Models Persuade Without Planning Theory of Mind.

Jared Moore, Rasmus Overmark, Ned Cooper, Beba Cibralic, Nick Haber, Cameron R. Jones

CoRR, February, 2026

"AI-Induced Delusional Spirals': Understanding Lived Experiences During Maladaptive Human-Chatbot Interactions.

Yuewen Yang, Sonja K. Schoenwald, Jared Moore, Desmond C. Ong, Sunny Xun Liu, Jeffrey T. Hancock

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

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

CoRR, October, 2025

Epistemic Diversity and Knowledge Collapse in Large Language Models.

Dustin Wright, Sarah Masud, Jared Moore, Srishti Yadav, Maria Antoniak, Chan Young Park, Isabelle Augenstein

CoRR, October, 2025

AbsenceBench: Language Models Can't Tell What's Missing.

Harvey Yiyun Fu, Aryan Shrivastava, Jared Moore, Peter West, Chenhao Tan, Ari Holtzman

CoRR, June, 2025

Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers.

Jared Moore, Declan Grabb, William Agnew, Kevin Klyman, Stevie Chancellor, Desmond C. Ong, Nick Haber

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Do Large Language Models Have a Planning Theory of Mind? Evidence from MindGames: a Multi-Step Persuasion Task.

Jared Moore, Rasmus Overmark, Ned Cooper, Beba Cibralic, Nick Haber, Cameron R. Jones

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2024

SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs.

Yuling Gu, Oyvind Tafjord, Hyunwoo Kim, Jared Moore, Ronan Le Bras, Peter Clark, Yejin Choi

CoRR, 2024

Intuitions of Compromise: Utilitarianism vs. Contractualism.

Jared Moore, Yejin Choi, Sydney Levine

CoRR, 2024

Language Models as Critical Thinking Tools: A Case Study of Philosophers.

Andre Ye, Jared Moore, Rose Novick, Amy X. Zhang

CoRR, 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

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Are Large Language Models Consistent over Value-laden Questions?

Jared Moore, Tanvi Deshpande, Diyi Yang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Perceptions of Compromise: Comparing Consqequentialist and Conctractualist Accounts.

Jared Moore, Sydney Levine, Yejin Choi

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

I am a Strange Dataset: Metalinguistic Tests for Language Models.

Tristan Thrush, Jared Moore, Miguel Monares, Christopher Potts, Douwe Kiela

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

LLMs grasp morality in concept.

Mark Pock, Andre Ye, Jared Moore

CoRR, 2023

Social Contract AI: Aligning AI Assistants with Implicit Group Norms.

Jan-Philipp Fränken, Sam Kwok, Peixuan Ye, Kanishk Gandhi, Dilip Arumugam, Jared Moore, Alex Tamkin, Tobias Gerstenberg, Noah D. Goodman

CoRR, 2023

2022

Utilizing Data Clustering for Hypotheses Discovery in Multimodal Exercise and Health Interventions with Limited Sample Size.

Mckay Russell, Guanrong Cai, Steven Merino, Clemente Rodríguez, Zachary Scholefield, Jared Moore, George Salem, Chengwei Lei

Proceedings of the 6th International Conference on Computational Biology and Bioinformatics, 2022

Language Models Understand Us, Poorly.

Jared Moore

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2020

Towards a more representative politics in the ethics of computer science.

Jared Moore

Proceedings of the FAT* '20: Conference on Fairness, 2020

2019

Where Does Innovation Come From?: Project Hindsight, TRACEs, and What Structured Case Studies Can Say About Innovation.

Zachary Pirtle, Jared Moore

IEEE Technol. Soc. Mag., 2019

The Price of Mechanization: Vonnegut's Player Piano in the 2010s [Review Essay].

Jared Moore

IEEE Technol. Soc. Mag., 2019

AI for Not Bad.

Jared Moore

Frontiers Big Data, 2019