Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments. - Steven Jecmen; Hanrui Zhang 001; Ryan Liu 001; Nihar B. Shah; Vincent Conitzer; Fei Fang 001 (NeurIPS, 2020)

Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. - Steven Jecmen; Hanrui Zhang 001; Ryan Liu 001; Fei Fang 001; Vincent Conitzer; Nihar B. Shah (AAMAS, 2022)

Cite-seeing and Reviewing: A Study on Citation Bias in Peer Review. - Ivan Stelmakh; Charvi Rastogi; Ryan Liu 001; Shuchi Chawla 001; Federico Echenique; Nihar B. Shah (CoRR, 2022)

API-Assisted Code Generation for Question Answering on Varied Table Structures. - Yihan Cao; Shuyi Chen; Ryan Liu 001; Zhiruo Wang; Daniel Fried (EMNLP, 2023)

ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing. - Ryan Liu 001; Nihar B. Shah (CoRR, 2023)

Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled Trial. - Ryan Liu 001; Steven Jecmen; Vincent Conitzer; Fei Fang 001; Nihar B. Shah (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 001; et al. (CoRR, 2023)

Improving Interpersonal Communication by Simulating Audiences with Language Models. - Ryan Liu 001; Howard Yen; Raja Marjieh; Thomas L. Griffiths 001; Ranjay Krishna (CoRR, 2023)

How do Large Language Models Navigate Conflicts between Honesty and Helpfulness? - Ryan Liu 001; Theodore R. Sumers; Ishita Dasgupta 001; Thomas L. Griffiths 001 (ICML, 2024)

Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse. - Ryan Liu 001; Jiayi Geng; Addison J. Wu; Ilia Sucholutsky; Tania Lombrozo; Thomas L. Griffiths 001 (CoRR, 2024)

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 001; et al. (CHI Extended Abstracts, 2025)

Large Language Models Assume People are More Rational than We Really are. - Ryan Liu 001; Jiayi Geng; Joshua C. Peterson; Ilia Sucholutsky; Thomas L. Griffiths 001 (ICLR, 2025)

RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation. - Kaiqu Liang; Haimin Hu; Ryan Liu 001; Thomas L. Griffiths 001; Jaime Fernández Fisac (CoRR, 2025)

On Benchmarking Human-Like Intelligence in Machines. - Lance Ying; Katherine M. Collins; Lionel Wong; Ilia Sucholutsky; Ryan Liu 001; Adrian Weller; Tianmin Shu; Thomas L. Griffiths 001; Joshua B. Tenenbaum (CoRR, 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 001; Raja Marjieh; R. Thomas McCoy; Andrew Nam; Ilia Sucholutsky; Veniamin Veselovsky; Liyi Zhang; Jian-Qiao Zhu; et al. (CoRR, 2025)

LLM Social Simulations Are a Promising Research Method. - Jacy Reese Anthis; Ryan Liu 001; Sean M. Richardson; Austin C. Kozlowski; Bernard Koch; James A. Evans; Erik Brynjolfsson; Michael S. Bernstein (CoRR, 2025)