Owain Evans

According to our database, Owain Evans authored at least 19 papers between 2009 and 2023.

Collaborative distances:

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

2023

Tell, don't show: Declarative facts influence how LLMs generalize.

Alexander Meinke, Owain Evans

CoRR, 2023

How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions.

Lorenzo Pacchiardi, Alex J. Chan, Sören Mindermann, Ilan Moscovitz, Alexa Y. Pan, Yarin Gal, Owain Evans, Jan Brauner

CoRR, 2023

The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A".

Lukas Berglund, Meg Tong, Max Kaufmann, Mikita Balesni, Asa Cooper Stickland, Tomasz Korbak, Owain Evans

CoRR, 2023

Taken out of context: On measuring situational awareness in LLMs.

Lukas Berglund, Asa Cooper Stickland, Mikita Balesni, Max Kaufmann, Meg Tong, Tomasz Korbak, Daniel Kokotajlo, Owain Evans

CoRR, 2023

2022

Teaching Models to Express Their Uncertainty in Words.

Stephanie Lin, Jacob Hilton, Owain Evans

Trans. Mach. Learn. Res., 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

TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Stephanie Lin, Jacob Hilton, Owain Evans

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Truthful AI: Developing and governing AI that does not lie.

Owain Evans, Owen Cotton-Barratt, Lukas Finnveden, Adam Bales, Avital Balwit, Peter Wills, Luca Righetti, William Saunders

CoRR, 2021

2020

Active Reinforcement Learning: Observing Rewards at a Cost.

David Krueger, Jan Leike, Owain Evans, John Salvatier

CoRR, 2020

2019

Sensory Optimization: Neural Networks as a Model for Understanding and Creating Art.

Owain Evans

CoRR, 2019

Generalizing from a few environments in safety-critical reinforcement learning.

Zachary Kenton, Angelos Filos, Owain Evans, Yarin Gal

CoRR, 2019

2018

Viewpoint: When Will AI Exceed Human Performance? Evidence from AI Experts.

Katja Grace, John Salvatier, Allan Dafoe, Baobao Zhang, Owain Evans

J. Artif. Intell. Res., 2018

Active Reinforcement Learning with Monte-Carlo Tree Search.

Sebastian Schulze, Owain Evans

CoRR, 2018

The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation.

Miles Brundage, Shahar Avin, Jack Clark, Helen Toner, Peter Eckersley, Ben Garfinkel, Allan Dafoe, Paul Scharre, Thomas Zeitzoff, Bobby Filar, Hyrum S. Anderson, Heather Roff, Gregory C. Allen, Jacob Steinhardt, Carrick Flynn, Seán Ó hÉigeartaigh, Simon Beard, Haydn Belfield, Sebastian Farquhar, Clare Lyle, Rebecca Crootof, Owain Evans, Michael Page, Joanna Bryson, Roman Yampolskiy, Dario Amodei

CoRR, 2018

Trial without Error: Towards Safe Reinforcement Learning via Human Intervention.

William Saunders, Girish Sastry, Andreas Stuhlmüller, Owain Evans

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

When Will AI Exceed Human Performance? Evidence from AI Experts.

Katja Grace, John Salvatier, Allan Dafoe, Baobao Zhang, Owain Evans

CoRR, 2017

Agent-Agnostic Human-in-the-Loop Reinforcement Learning.

David Abel, John Salvatier, Andreas Stuhlmüller, Owain Evans

CoRR, 2017

2016

Learning the Preferences of Ignorant, Inconsistent Agents.

Owain Evans, Andreas Stuhlmüller, Noah D. Goodman

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2009

Help or Hinder: Bayesian Models of Social Goal Inference.

Tomer D. Ullman, Chris L. Baker, Owen Macindoe, Owain Evans, Noah D. Goodman, Joshua B. Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009