Joe Kwon

According to our database, Joe Kwon authored at least 6 papers between 2022 and 2026.

Collaborative distances:

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

2026

Measuring AI R&D Automation.

Alan Chan, Ranay Padarath, Joe Kwon, Hilary Greaves, Markus Anderljung

CoRR, March, 2026

Internal Deployment Gaps in AI Regulation.

Joe Kwon, Stephen Casper

CoRR, January, 2026

2025

Large Language Models Are More Persuasive Than Incentivized Human Persuaders.

Philipp Schoenegger, Francesco Salvi, Jiacheng Liu, Xiaoli Nan, Ramit Debnath, Barbara Fasolo, Evelina Leivada, Gabriel Recchia, Fritz Günther, Ali Zarifhonarvar, Joe Kwon, Zahoor Ul Islam, Marco Dehnert, Daryl Y. H. Lee, Madeline G. Reinecke, David G. Kamper, Mert Kobas, Adam Sandford, Jonas Kgomo, Luke Hewitt, Shreya Kapoor, Kerem Oktar, Eyup Engin Kucuk, Bo Feng, Cameron R. Jones, Izzy Gainsburg, Sebastian Olschewski, Nora Heinzelmann, Francisco Cruz, Ben M. Tappin, Tao Ma, Peter S. Park, Rayan Onyonka, Arthur Hjorth, Peter Slattery, Qingcheng Zeng, Lennart Finke, Igor Grossmann, Alessandro Salatiello, Ezra Karger

CoRR, May, 2025

2024

Comparing Bottom-Up and Top-Down Steering Approaches on In-Context Learning Tasks.

Madeline Brumley, Joe Kwon, David Krueger, Dmitrii Krasheninnikov, Usman Anwar

CoRR, 2024

2023

Explore, Establish, Exploit: Red Teaming Language Models from Scratch.

Stephen Casper, Jason Lin, Joe Kwon, Gatlen Culp, Dylan Hadfield-Menell

CoRR, 2023

2022

Forecasting Future World Events With Neural Networks.

Andy Zou, Tristan Xiao, Ryan Jia, Joe Kwon, Mantas Mazeika, Richard Li, Dawn Song, Jacob Steinhardt, Owain Evans, Dan Hendrycks

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022