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Owain Evans
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2020 – today
- 2023
- [i17]Lukas Berglund, Asa Cooper Stickland, Mikita Balesni, Max Kaufmann, Meg Tong, Tomasz Korbak, Daniel Kokotajlo, Owain Evans:
Taken out of context: On measuring situational awareness in LLMs. CoRR abs/2309.00667 (2023) - [i16]Lukas Berglund, Meg Tong, Max Kaufmann, Mikita Balesni, Asa Cooper Stickland, Tomasz Korbak, Owain Evans:
The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A". CoRR abs/2309.12288 (2023) - [i15]Lorenzo Pacchiardi, Alex J. Chan, Sören Mindermann, Ilan Moscovitz, Alexa Y. Pan, Yarin Gal, Owain Evans, Jan Brauner:
How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions. CoRR abs/2309.15840 (2023) - [i14]Alexander Meinke, Owain Evans:
Tell, don't show: Declarative facts influence how LLMs generalize. CoRR abs/2312.07779 (2023) - 2022
- [j2]Stephanie Lin, Jacob Hilton, Owain Evans:
Teaching Models to Express Their Uncertainty in Words. Trans. Mach. Learn. Res. 2022 (2022) - [c5]Stephanie Lin, Jacob Hilton, Owain Evans:
TruthfulQA: Measuring How Models Mimic Human Falsehoods. ACL (1) 2022: 3214-3252 - [c4]Andy Zou, Tristan Xiao, Ryan Jia, Joe Kwon, Mantas Mazeika, Richard Li, Dawn Song, Jacob Steinhardt, Owain Evans, Dan Hendrycks:
Forecasting Future World Events With Neural Networks. NeurIPS 2022 - [i13]Stephanie Lin, Jacob Hilton, Owain Evans:
Teaching Models to Express Their Uncertainty in Words. CoRR abs/2205.14334 (2022) - [i12]Andy Zou, Tristan Xiao, Ryan Jia, Joe Kwon, Mantas Mazeika, Richard Li, Dawn Song, Jacob Steinhardt, Owain Evans, Dan Hendrycks:
Forecasting Future World Events with Neural Networks. CoRR abs/2206.15474 (2022) - 2021
- [i11]Stephanie Lin, Jacob Hilton, Owain Evans:
TruthfulQA: Measuring How Models Mimic Human Falsehoods. CoRR abs/2109.07958 (2021) - [i10]Owain Evans, Owen Cotton-Barratt, Lukas Finnveden, Adam Bales, Avital Balwit, Peter Wills, Luca Righetti, William Saunders:
Truthful AI: Developing and governing AI that does not lie. CoRR abs/2110.06674 (2021) - 2020
- [i9]David Krueger, Jan Leike, Owain Evans, John Salvatier:
Active Reinforcement Learning: Observing Rewards at a Cost. CoRR abs/2011.06709 (2020)
2010 – 2019
- 2019
- [i8]Zachary Kenton, Angelos Filos, Owain Evans, Yarin Gal:
Generalizing from a few environments in safety-critical reinforcement learning. CoRR abs/1907.01475 (2019) - [i7]Owain Evans:
Sensory Optimization: Neural Networks as a Model for Understanding and Creating Art. CoRR abs/1911.07068 (2019) - 2018
- [j1]Katja Grace, John Salvatier, Allan Dafoe, Baobao Zhang, Owain Evans:
Viewpoint: When Will AI Exceed Human Performance? Evidence from AI Experts. J. Artif. Intell. Res. 62: 729-754 (2018) - [c3]William Saunders, Girish Sastry, Andreas Stuhlmüller, Owain Evans:
Trial without Error: Towards Safe Reinforcement Learning via Human Intervention. AAMAS 2018: 2067-2069 - [i6]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:
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation. CoRR abs/1802.07228 (2018) - [i5]Sebastian Schulze, Owain Evans:
Active Reinforcement Learning with Monte-Carlo Tree Search. CoRR abs/1803.04926 (2018) - 2017
- [i4]David Abel, John Salvatier, Andreas Stuhlmüller, Owain Evans:
Agent-Agnostic Human-in-the-Loop Reinforcement Learning. CoRR abs/1701.04079 (2017) - [i3]Katja Grace, John Salvatier, Allan Dafoe, Baobao Zhang, Owain Evans:
When Will AI Exceed Human Performance? Evidence from AI Experts. CoRR abs/1705.08807 (2017) - [i2]William Saunders, Girish Sastry, Andreas Stuhlmüller, Owain Evans:
Trial without Error: Towards Safe Reinforcement Learning via Human Intervention. CoRR abs/1707.05173 (2017) - 2016
- [c2]Owain Evans, Andreas Stuhlmüller, Noah D. Goodman:
Learning the Preferences of Ignorant, Inconsistent Agents. AAAI 2016: 323-329 - 2015
- [i1]Owain Evans, Andreas Stuhlmüller, Noah D. Goodman:
Learning the Preferences of Ignorant, Inconsistent Agents. CoRR abs/1512.05832 (2015)
2000 – 2009
- 2009
- [c1]Tomer D. Ullman, Chris L. Baker, Owen Macindoe, Owain Evans, Noah D. Goodman, Joshua B. Tenenbaum:
Help or Hinder: Bayesian Models of Social Goal Inference. NIPS 2009: 1874-1882
Coauthor Index
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