Ryan Liu - RankMe

30 papers A* 5A 1B 2Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cognitive Models and AI Algorithms Provide Templates for Designing Language Agents. CoRR Ryan Liu, Dilip Arumugam, Cedegao E. Zhang, Sean Escola, Xaq Pitkow, Thomas L. Griffiths
2025	J	`jnl`	Accumulating Context Changes the Beliefs of Language Models. CoRR Jiayi Geng, Howard Chen, Ryan Liu, Manoel Horta Ribeiro, Robb Willer, Graham Neubig, Thomas L. Griffiths
2025	J	`jnl`	Are Large Language Models Sensitive to the Motives Behind Communication? CoRR Addison J. Wu, Ryan Liu, Kerem Oktar, Theodore R. Sumers, Thomas L. Griffiths
2025	J	`jnl`	Evaluating Language Models' Evaluations of Games. CoRR Katherine M. Collins, Cedegao E. Zhang, Graham Todd, Lance Ying, Mauricio Barba da Costa, Ryan Liu, Prafull Sharma, Adrian Weller, Ionatan Kuperwajs, Lionel Wong, Joshua B. Tenenbaum, Thomas L. Griffiths
2025	B	`conf`	Improving Interpersonal Communication by Simulating Audiences with Large Language Models. CogSci Ryan Liu, Howard Yen, Raja Marjieh, Tom Griffiths, Ranjay Krishna
2025	J	`jnl`	LLM Social Simulations Are a Promising Research Method. CoRR Jacy Reese Anthis, Ryan Liu, Sean M. Richardson, Austin C. Kozlowski, Bernard Koch, James A. Evans, Erik Brynjolfsson, Michael S. Bernstein
2025	—	`conf`	LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs. CHI Extended Abstracts 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
2025	A*	`conf`	Large Language Models Assume People are More Rational than We Really are. ICLR Ryan Liu, Jiayi Geng, Joshua C. Peterson, Ilia Sucholutsky, Thomas L. Griffiths
2025	J	`jnl`	Large Language Models Develop Novel Social Biases Through Adaptive Exploration. CoRR Addison J. Wu, Ryan Liu, Xuechunzi Bai, Thomas L. Griffiths
2025	A*	`conf`	Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse. ICML Ryan Liu, Jiayi Geng, Addison J. Wu, Ilia Sucholutsky, Tania Lombrozo, Thomas L. Griffiths
2025	J	`jnl`	On Benchmarking Human-Like Intelligence in Machines. CoRR Lance Ying, Katherine M. Collins, Lionel Wong, Ilia Sucholutsky, Ryan Liu, Adrian Weller, Tianmin Shu, Thomas L. Griffiths, Joshua B. Tenenbaum
2025	—	`conf`	Position: LLM Social Simulations Are a Promising Research Method. ICML (Position Papers) Jacy Reese Anthis, Ryan Liu, Sean M. Richardson, Austin C. Kozlowski, Bernard Koch, Erik Brynjolfsson, James A. Evans, Michael S. Bernstein
2025	J	`jnl`	RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation. CoRR Kaiqu Liang, Haimin Hu, Ryan Liu, Thomas L. Griffiths, Jaime Fernández Fisac
2025	J	`jnl`	Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis. CoRR 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
2024	A*	`conf`	How do Large Language Models Navigate Conflicts between Honesty and Helpfulness? ICML Ryan Liu, Theodore R. Sumers, Ishita Dasgupta, Thomas L. Griffiths
2024	J	`jnl`	How do Large Language Models Navigate Conflicts between Honesty and Helpfulness? CoRR Ryan Liu, Theodore R. Sumers, Ishita Dasgupta, Thomas L. Griffiths
2024	J	`jnl`	Large Language Models Assume People are More Rational than We Really are. CoRR Ryan Liu, Jiayi Geng, Joshua C. Peterson, Ilia Sucholutsky, Thomas L. Griffiths
2024	J	`jnl`	Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse. CoRR Ryan Liu, Jiayi Geng, Addison J. Wu, Ilia Sucholutsky, Tania Lombrozo, Thomas L. Griffiths
2023	A*	`conf`	API-Assisted Code Generation for Question Answering on Varied Table Structures. EMNLP Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried
2023	J	`jnl`	API-Assisted Code Generation for Question Answering on Varied Table Structures. CoRR Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried
2023	J	`jnl`	Improving Interpersonal Communication by Simulating Audiences with Language Models. CoRR Ryan Liu, Howard Yen, Raja Marjieh, Thomas L. Griffiths, Ranjay Krishna
2023	J	`jnl`	LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs. CoRR 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
2023	J	`jnl`	ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing. CoRR Ryan Liu, Nihar B. Shah
2023	J	`jnl`	Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled Trial. CoRR Ryan Liu, Steven Jecmen, Vincent Conitzer, Fei Fang, Nihar B. Shah
2022	J	`jnl`	Cite-seeing and Reviewing: A Study on Citation Bias in Peer Review. CoRR Ivan Stelmakh, Charvi Rastogi, Ryan Liu, Shuchi Chawla, Federico Echenique, Nihar B. Shah
2022	A	`conf`	Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. AAMAS Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah
2022	B	`conf`	Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. HCOMP Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah
2021	J	`jnl`	Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. CoRR Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah
2020	A*	`conf`	Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments. NeurIPS Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang
2020	J	`jnl`	Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments. CoRR Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang