Hilton, Jacob

Training language models to follow instructions with human feedback

Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C. L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., et al. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 4,208

TruthfulQA: Measuring How Models Mimic Human Falsehoods

Lin, S., Hilton, J., & Evans, O. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Misinformation and Its ImpactsTopic Modeling

Cited by 904

TruthfulQA: Measuring How Models Mimic Human Falsehoods

Lin, S., Hilton, J., & Evans, O. (2021) · arXiv

Misinformation and Its ImpactsTopic Modeling

Cited by 899

Leveraging Procedural Generation to Benchmark Reinforcement Learning

Cobbe, K., Hesse, C., Hilton, J., & Schulman, J. (2019) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 196

Scaling Laws for Reward Model Overoptimization

Gao, L., Schulman, J., & Hilton, J. (2022) · arXiv

Reinforcement Learning in RoboticsEthics and Social Impacts of AI

Cited by 62

Teaching Models to Express Their Uncertainty in Words

Lin, S., Hilton, J., & Evans, O. (2022) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 59

Understanding RL vision

Hilton, J., Cammarata, N., Carter, S., Goh, G., & Olah, C. (2020) · Distill

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 37