Ryan Liu

According to our database, Ryan Liu authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

LLM Social Simulations Are a Promising Research Method.

Jacy Reese Anthis, Ryan Liu, Sean M. Richardson, Austin C. Kozlowski, Bernard Koch, James A. Evans, Erik Brynjolfsson, Michael S. Bernstein

CoRR, April, 2025

Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis.

Alexander Ku, Declan Campbell, Xuechunzi Bai, Jiayi Geng, Ryan Liu, Raja Marjieh, R. Thomas McCoy, Andrew Nam, Ilia Sucholutsky, Veniamin Veselovsky, Liyi Zhang, Jian-Qiao Zhu, Thomas L. Griffiths

CoRR, March, 2025

On Benchmarking Human-Like Intelligence in Machines.

Lance Ying, Katherine M. Collins, Lionel Wong, Ilia Sucholutsky, Ryan Liu, Adrian Weller, Tianmin Shu, Thomas L. Griffiths, Joshua B. Tenenbaum

CoRR, February, 2025

RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation.

Kaiqu Liang, Haimin Hu, Ryan Liu, Thomas L. Griffiths, Jaime Fernández Fisac

CoRR, January, 2025

Large Language Models Assume People are More Rational than We Really are.

Ryan Liu, Jiayi Geng, Joshua C. Peterson, Ilia Sucholutsky, Thomas L. Griffiths

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs.

Tongshuang Wu, Haiyi Zhu, Maya Albayrak, Alexis Axon, Amanda Bertsch, Wenxing Deng, Ziqi Ding, Boyuan Guo, Sireesh Gururaja, Tzu-Sheng Kuo, Jenny T. Liang, Ryan Liu, Ihita Mandal, Jeremiah Milbauer, Xiaolin Ni, Namrata Padmanabhan, Subhashini Ramkumar, Alexis Sudjianto, Jordan Taylor, Ying-Jui Tseng, Patricia Vaidos, Zhijin Wu, Wei Wu, Chenyang Yang

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

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

CoRR, 2024

How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?

Ryan Liu, Theodore R. Sumers, Ishita Dasgupta, Thomas L. Griffiths

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

2023

Improving Interpersonal Communication by Simulating Audiences with Language Models.

Ryan Liu, Howard Yen, Raja Marjieh, Thomas L. Griffiths, Ranjay Krishna

CoRR, 2023

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs.

Tongshuang Wu, Haiyi Zhu, Maya Albayrak, Alexis Axon, Amanda Bertsch, Wenxing Deng, Ziqi Ding, Bill Guo, Sireesh Gururaja, Tzu-Sheng Kuo, Jenny T. Liang, Ryan Liu, Ihita Mandal, Jeremiah Milbauer, Xiaolin Ni, Namrata Padmanabhan, Subhashini Ramkumar, Alexis Sudjianto, Jordan Taylor, Ying-Jui Tseng, Patricia Vaidos, Zhijin Wu, Wei Wu, Chenyang Yang

CoRR, 2023

Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled Trial.

Ryan Liu, Steven Jecmen, Vincent Conitzer, Fei Fang, Nihar B. Shah

CoRR, 2023

ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing.

Ryan Liu, Nihar B. Shah

CoRR, 2023

API-Assisted Code Generation for Question Answering on Varied Table Structures.

Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Cite-seeing and Reviewing: A Study on Citation Bias in Peer Review.

Ivan Stelmakh, Charvi Rastogi, Ryan Liu, Shuchi Chawla, Federico Echenique, Nihar B. Shah

CoRR, 2022

Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design.

Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2020

Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments.

Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020