Ryan Othniel Kearns

According to our database, Ryan Othniel Kearns authored at least 12 papers between 2019 and 2026.

Collaborative distances:

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

2026

AgentSLR: Automating Systematic Literature Reviews in Epidemiology with Agentic AI.

Shreyansh Padarha, Ryan Othniel Kearns, Tristan Naidoo, Lingyi Yang, Lukasz Borchmann, Piotr Blaszczyk, Christian Morgenstern, Ruth McCabe, Sangeeta Bhatia, Philip Torr, Jakob N. Foerster, Scott A. Hale, Thomas Rawson, Anne Cori, Elizaveta Semenova, Adam Mahdi

CoRR, March, 2026

Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections.

Lukasz Borchmann, Jordy Van Landeghem, Michal Turski, Shreyansh Padarha, Ryan Othniel Kearns, Adam Mahdi, Niels Rogge, Clémentine Fourrier, Siwei Han, Huaxiu Yao, Artemis Llabrés, Yiming Xu, Dimosthenis Karatzas, Hao Zhang, Anupam Datta

CoRR, March, 2026

Quantifying construct validity in large language model evaluations.

Ryan Othniel Kearns

CoRR, February, 2026

2025

Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value.

Joe Edelman, Tan Zhi-Xuan, Ryan Lowe, Oliver Klingefjord, Vincent Wang-Mascianica, Matija Franklin, Ryan Othniel Kearns, Ellie Hain, Atrisha Sarkar, Michiel A. Bakker, Fazl Barez, David Duvenaud, Jakob N. Foerster, Iason Gabriel, Joseph Gubbels, Bryce Goodman, Andreas Haupt, Jobst Heitzig, Julian Jara-Ettinger, Atoosa Kasirzadeh, James Ravi Kirkpatrick, Andrew Koh, W. Bradley Knox, Philipp E. Koralus, Joel Lehman, Sydney Levine, Samuele Marro, Manon Revel, Toby Shorin, Morgan Sutherland, Michael Henry Tessler, Ivan Vendrov, James Wilken-Smith

CoRR, December, 2025

Measuring what Matters: Construct Validity in Large Language Model Benchmarks.

Andrew M. Bean, Ryan Othniel Kearns, Angelika Romanou, Franziska Sofia Hafner, Harry Mayne, Jan Batzner, Negar Foroutan, Chris Schmitz, Karolina Korgul, Hunar Batra, Oishi Deb, Emma Beharry, Cornelius Emde, Thomas Foster, Anna Gausen, María Grandury, Simeng Han, Valentin Hofmann, Lujain Ibrahim, Hazel Kim, Hannah Rose Kirk, Fangru Lin, Gabrielle Kaili-May Liu, Lennart Luettgau, Jabez Magomere, Jonathan Rystrøm, Anna Sotnikova, Yushi Yang, Yilun Zhao, Adel Bibi, Antoine Bosselut, Ronald Clark, Arman Cohan, Jakob N. Foerster, Yarin Gal, Scott A. Hale, Inioluwa Deborah Raji, Christopher Summerfield, Philip H. S. Torr, Cozmin Ududec, Luc Rocher, Adam Mahdi

CoRR, November, 2025

Stronger Language Models Produce More Human-Like Errors.

Andrew Keenan Richardson, Ryan Othniel Kearns, Sean K. Moss, Vincent Wang-Mascianica, Philipp E. Koralus

CoRR, June, 2025

LINGOLY-TOO: Disentangling Memorisation from Reasoning with Linguistic Templatisation and Orthographic Obfuscation.

Jude Khouja, Karolina Korgul, Simi Hellsten, Lingyi Yang, Vlad Neacsu, Harry Mayne, Ryan Kearns, Andrew M. Bean, Adam Mahdi

CoRR, March, 2025

LLMs Don't Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations.

Harry Mayne, Ryan Othniel Kearns, Yushi Yang, Andrew M. Bean, Eoin D. Delaney, Chris Russell, Adam Mahdi

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2023

Contextual Trust.

Ryan Othniel Kearns

CoRR, 2023

2022

A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk Representation.

Giovanni Campagna, Sina J. Semnani, Ryan Kearns, Lucas Jun Koba Sato, Silei Xu, Monica Lam

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

2020

State-Machine-Based Dialogue Agents with Few-Shot Contextual Semantic Parsers.

Giovanni Campagna, Sina J. Semnani, Ryan Kearns, Lucas Jun Koba Sato, Monica S. Lam

CoRR, 2020

2019

BPG: Seamless, automated and interactive visualization of scientific data.

Christine P'ng, Jeffrey Green, Lauren C. Chong, Daryl Waggott, Stephenie D. Prokopec, Mehrdad Shamsi, Francis Nguyen, Denise Y. F. Mak, Felix Lam, Marco A. Albuquerque, Ying Wu, Esther H. Jung, Maud H. W. Starmans, Michelle A. Chan-Seng-Yue, Cindy Q. Yao, Bianca Liang, Emilie Lalonde, Syed Haider, Nicole A. Simone, Dorota H. Sendorek, Kenneth C. Chu, Nathalie C. Moon, Natalie S. Fox, Michal R. Grzadkowski, Nicholas J. Harding, Clement Fung, Amanda R. Murdoch, Kathleen E. Houlahan, Jianxin Wang, David R. Garcia, Richard de Borja, Ren X. Sun, Xihui Lin, Gregory M. Chen, Aileen Lu, Yu-Jia Shiah, Amin Zia, Ryan Kearns, Paul C. Boutros

BMC Bioinform., 2019